AI, machine learning and automation in cybersecurity: The time is now – GCN.com

INDUSTRY INSIGHT

The cybersecurity skills shortage continues to plague organizations across regions, markets and sectors, and the government sector is no exception.According to (ISC)2, there are only enough cybersecurity pros to fill about 60% of the jobs that are currently open -- which means the workforce will need to grow by roughly 145% to just meet the current global demand.

The Government Accountability Office states that the federal government needs a qualified, well-trained cybersecurity workforce to protect vital IT systems, and one senior cybersecurity official at the Department of Homeland Security has described the talent gap as a national security issue. The scarcity of such workers is one reason why securing federal systems is on GAOs High Risk list.Given this situation, chief information security officers who are looking for ways to make their existing resources more effective can make great use of automation and artificial intelligence to supplement and enhance their workforce.

The overall challenge landscape

Results of our survey, Making Tough Choices: How CISOs Manage Escalating Threats and Limited Resources show that CISOs currently devote 36% of their budgets to response and 33% to prevention.However, as security needs change, many CISOs are looking to shift budget away from prevention without reducing its effectiveness. An optimal budget would reduce spend on prevention and increase spending on detection and response to 33% and 40% of the security budget, respectively.This shift would give security teams the speed and flexibility they need to react quickly in the face of a threat from cybercriminals who are outpacing agencies defensive capabilities.When breaches are inevitable, it is important to stop as many as possible at the point of intrusion, but it is even more important to detect and respond to them before they can do serious damage.

One challenge to matching the speed of todays cyberattacks is that CISOs have limited personnel and budget resources. To overcome these obstacles and attain the detection and response speeds necessary for effective cybersecurity, CISOs must take advantage of AI, machine learning and automation.These technologies will help close gaps by correlating threat intelligence and coordinating responses at machine speed. Government agencies will be able to develop a self-defending security system capable of analyzing large volumes of data, detecting threats, reconfiguring devices and responding to threats without human intervention.

The unique challenges

Federal agencies deal with a number of challenges unique to the public sector, including the age and complexity of IT systems as well as the challenges of the government budget cycle.IT teams for government agencies arent just protecting intellectual property or credit card numbers; they are also tasked with protecting citizens sensitive data and national security secrets.

Charged with this duty but constrained by limited resources, IT leaders must weigh the risks of cyber threats against the daily demands of keeping networks up and running. This balancing act becomes more difficult as agencies migrate to the cloud, adopt internet-of-things devices and transition to software-defined networks that have no perimeter. These changes mean government networks are expanding their attack surface with no additional -- or even fewerdefensive resources. Its part of the reason why the Verizon Data Breach Investigations Report found that government agencies were subjected to more security incidents and more breaches than any other sector last year.

To change that dynamic, the typical government set-up of siloed systems must be replaced with a unified platform that can provide wider and more granular network visibility and more rapid and automated response.

How AI and automation can help

The keys to making a unified platform work are AI and automation technologies. Because organizations cannot keep pace with the growing volume of threats by manual detection and response, they need to leverage AI/ML and automation to fill these gaps. AI-driven solutions can learn what normal behavior looks like in order to detect anomalous behavior.For instance, many employees typically access a specific kind of data or only log on at certain times. If an employees account starts to show activity outside of these normal parameters, an AI/ML-based solution can detect these anomalies and can inspect or quarantine the affected device or user account until it is determined to be safe or mitigating action can be taken.

If the device is infected with malware or is otherwise acting maliciously, that AI-based tool can also issue automated responses. Making these tactical tasks the responsibility of AI-driven solutions frees security teams to work on more strategic problems, develop threat intelligence or focus on more difficult tasks such as detecting unknown threats.

IT teams at government agencies that want to implement AI and automation must be sure the solution they choose can scale and operate at machine speeds to keep up with the growing complexity and speed of the threat. In selecting a solution, IT managers must take time to ensure solutions have been developed using AI best practices and training techniques and that they are powered by best-in-class threat intelligence, security research and analytics technology. Data should be collected from a variety of nodes -- both globally and within the local IT environment -- to glean the most accurate and actionable information for supporting a security strategy.

Time is of the essence

Government agencies are experiencing more cyberattacks than ever before, at a time when the nation is facing a 40% cybersecurity skills talent shortage. Time is of the essence in defending a network, but time is what under-resourced and over-tasked government IT teams typically lack. As attacks come more rapidly and adapt to the evolving IT environment and new vulnerabilities, AI/ML and automation are rapidly becoming necessities.Solutions built from the ground up with these technologies will help government CISOs counter and potentially get ahead of todays sophisticated attacks.

About the Author

Jim Richberg is a Fortinet field CISO focused on the U.S. public sector.

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AI, machine learning and automation in cybersecurity: The time is now - GCN.com

Could Machine Learning Replace the Entire Weather Forecast System? – HPCwire

Just a few months ago, a series of major new weather and climate supercomputing investments were announced, including a 1.2 billion order for the worlds most powerful weather and climate supercomputer and a tripling of the U.S. operational supercomputing capacity for weather forecasting. Weather and climate modeling are among the most power-hungry use cases for supercomputers, and research and forecasting agencies often struggle to keep up with the computing needs of models that are, in many cases, simulating the atmosphere of the entire planet as granularly and as regularly as possible.

What if that all changed?

In a virtual keynote for the HPC-AI Advisory Councils 2020 Stanford Conference, Peter Dueben outlined how machine learning might (or might not) begin to augment and even, eventually, compete with heavy-duty, supercomputer-powered climate models. Dueben is the coordinator for machine learning and AI activities at the European Centre for Medium-Range Weather Forecasts (ECMWF), a UK-based intergovernmental organization that houses two supercomputers and provides 24/7 operational weather services at several timescales. ECMWF is also the home of the Integrated Forecast System (IFS), which Dueben says is probably one of the best forecast models in the world.

Why machine learning at all?

The Earth, Dueben explained, is big. So big, in fact, that apart from being laborious, developing a representational model of the Earths weather and climate systems brick-by-brick isnt achieving the accuracy that you might imagine. Despite the computing firepower behind weather forecasting, most models remain at a 10 kilometer resolution that doesnt represent clouds, and the chaotic atmospheric dynamics and occasionally opaque interactions further complicate model outputs.

However, on the other side, we have a huge number of observations, Dueben said. Just to give you an impression, ECMWF is getting hundreds of millions of observations onto the site every day. Some observations come from satellites, planes, ships, ground measurements, balloons This data collected over the last several decades constituted hundreds of petabytes if simulations and climate modeling results were included.

If you combine those two points, we have a very complex nonlinear system and we also have a lot of data, he said. Theres obviously lots of potential applications for machine learning in weather modeling.

Potential applications of machine learning

Machine learning applications are really spread all over the entire workflow of weather prediction, Dueben said, breaking that workflow down into observations, data assimilation, numerical weather forecasting, and post-processing and dissemination. Across those areas, he explained, machine learning could be used for anything from weather data monitoring to learning the underlying equations of atmospheric motions.

By way of example, Dueben highlighted a handful of current, real-world applications. In one case, researchers had applied machine learning to detecting wildfires caused by lightning. Using observations for 15 variables (such as temperature, soil moisture and vegetation cover), the researchers constructed a machine learning-based decision tree to assess whether or not satellite observations included wildfires. The team achieved an accuracy of 77 percent which, Deuben said, doesnt sound too great in principle, but was actually quite good.

Elsewhere, another team explored the use of machine learning to correct persistent biases in forecast model results. Dueben explained that researchers were examining the use of a weak constraint machine learning algorithm (in this case, 4D-Var), which is a kind of algorithm that would be able to learn this kind of forecast error and correct it in the data assimilation process.

We learn, basically, the bias, he said, and then once we have learned the bias, we can correct the bias of the forecast model by just adding forcing terms to the system. Once 4D-Var was implemented on a sample of forecast model results, the biases were ameliorated. Though Dueben cautioned that the process is still fairly simplistic, a new collaboration with Nvidia is looking into more sophisticated ways of correcting those forecast errors with machine learning.

Dueben also outlined applications in post-processing. Much of modern weather forecasting focuses on ensemble methods, where a model is run many times to obtain a spread of possible scenarios and as a result, probabilities of various outcomes. We investigate whether we can correct the ensemble spread calculated from a small number of ensemble members via deep learning, Dueben said. Once again, machine learning when applied to a ten-member ensemble looking at temperatures in Europe improved the results, reducing error in temperature spreads.

Can machine learning replace core functionality or even the entire forecast system?

One of the things that were looking into is the emulation of different permutation schemes, Dueben said. Chief among those, at least initially, have been the radiation component of forecast models, which account for the fluxes of solar radiation between the ground, the clouds and the upper atmosphere. As a trial run, Dueben and his colleagues are using extensive radiation output data from a forecast model to train a neural network. First of all, its very, very light, Dueben said. Second of all, its also going to be much more portable. Once we represent radiation with a deep neural network, you can basically port it to whatever hardware you want.

Showing a pair of output images, one from the machine learning model and one from the forecast model, Dueben pointed out that it was hard to notice significant differences and even refused to tell the audience which was which. Furthermore, he said, the model had achieved around a tenfold speedup. (Im quite confident that it will actually be much better than a factor of ten, Dueben said.)

Dueben and his colleagues have also scaled their tests up to more ambitious realms. They pulled hourly data on geopotential height (Z500) which is related to air pressure and trained a deep learning model to predict future changes in Z500 across the globe using only that historical data. For this, no physical understanding is really required, Dueben said, and it turns out that its actually working quite well.

Still, Dueben forced himself to face the crucial question.

Is this the future? he asked. I have to say its probably not.

There were several reasons for this. First, Dueben said, the simulations were unstable, eventually blowing up if they were stretched too far. Second of all, he said, its also unknown how to increase complexity at this stage. We only have one field here. Finally, he explained, there were only forty years of sufficiently detailed data with which to work.

Still, it wasnt all pessimism. Its kind of unlikely that its going to fly and basically feed operational forecasting at one point, he said. However, having said this, there are now a number of papers coming out where people are looking into this in a much, much more complicated way than we have done with really sophisticated convolutional networks and they get, actually, quite good results. So who knows!

The path forward

The main challenge for machine learning in the community that were facing at the moment, Dueben said, is basically that we need to prove now that machine learning solutions can really be better than conventional tools and we need to do this in the next couple of years.

There are, of course, many roadblocks to that goal. Forecasting models are extraordinarily complicated; iterations on deep learning models require significant HPC resources to test and validate; and metrics of comparison among models are unclear. Dueben also outlined a series of major unknowns in machine learning for weather forecasting: could our explicit knowledge of atmospheric mechanisms be used to improve a machine learning forecast? Could researchers guarantee reproducibility? Could the tools be scaled effectively to HPC? The list went on.

Many scientists are working on these dilemmas as we speak, Dueben said, and Im sure we will have an enormous amount of progress in the next couple of years. Outlining a path forward, Dueben emphasized a mixture of a top-down and a bottom-up approach to link machine learning with weather and climate models. Per his diagram, this would combine neutral networks based on human knowledge of earth systems with reliable benchmarks, scalability and better uncertainty quantification.

As far as where he sees machine learning for weather prediction in ten years?

It could be that machine learning will have no long-term effect whatsoever that its just a wave going through, Dueben mused. But on the other hand, it could well be that machine learning tools will actually replace almost all conventional models that were working with.

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Could Machine Learning Replace the Entire Weather Forecast System? - HPCwire

Machine Learning in Medicine Market 2020-2024 Review and Outlook – Latest Herald

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Harnessing the power of GaN and machine learning – News – Compound Semiconductor

Military installations, especially on ships and aircraft, require robust power electronics systems to operate radar and other equipment, but there is limited space onboard. Researchers from the University of Houston will use a $2.5 million grant from the US Department of Defense to develop compact electronic power systems to address the issue.

Harish Krishnamoorthy, assistant professor of electrical and computer engineering and principal investigator for the project, said he will focus on developing power converters using GaN (GaN) devices, capable of quickly storing and discharging energy to operate the radar systems.

He is working with co-PI Kaushik Rajashekara, professor of electrical and computer engineering, and Tagore Technology, a semiconductor company based in Arlington Heights, Ill. The work has potential commercial applications, in addition to military use, he said.

Currently, radar systems require large capacitors, which store energy and provide bursts of power to operate the systems. The electrolytic capacitors also have relatively short lifespans, Krishnamoorthy said.

GaN devices can be turned on and off far more quickly - over ten times as quickly as silicon devices. The resulting higher operating frequency allows passive components in the circuit - including capacitors and inductors - to be designed at much smaller dimensions.

But there are still drawbacks to GaN devices. Noise - electromagnetic interference, or EMI - can affect the precision of radar systems, since the devices work at such high speeds. Part of Krishnamoorthy's project involves designing a system where converters can contain the noise, allowing the radar system to operate unimpeded.

He also will use machine learning to predict the lifespan of GaN devices, as well as of circuits employing these devices. The use of GaN technology in power applications is relatively new, and assessing how long they will continue to operate in a circuit remains a challenge.

"We don't know how long these GaN devices will last in practical applications, because they've only been used for a few years," Krishnamoorthy said. "That's a concern for industry."

The health and well-being of AngelTech speakers, partners, employees and the overall community is our top priority. Due to the growing concern around the coronavirus (COVID-19), and in alignment with the best practices laid out by the CDC, WHO and other relevant entities, AngelTech decided to postpone the live Brussels event to 16th - 18th November 2020.

In the interim, we believe it is still important to connect the community and we want to do this via an online summit, taking place live on Tuesday May 19th at 12:00 GMT and content available for 12 months on demand. This will not replace the live event (we believe live face to face interaction, learning and networking can never be fully replaced by a virtual summit), it will supplement the event, add value for key players and bring the community together digitally.

The event will involve 4 breakout sessions for CS International, PIC International, Sensors International and PIC Pilot Lines.

Key elements of the online summit:

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Harnessing the power of GaN and machine learning - News - Compound Semiconductor

FBI reveals Roger Stone was directly communicating with Julian Assange – Business Insider

WASHINGTON (AP) Weeks after Robert Mueller was appointed special counsel in the Russia investigation, Roger Stone, a confidant of President Donald Trump, reassured WikiLeaks founder Julian Assange in a Twitter message that if prosecutors came after him, "I will bring down the entire house of cards," according to FBI documents made public Tuesday.

The records reveal the extent of communications between Stone and Assange, whose anti-secrecy website published Democratic emails hacked by Russians during the 2016 presidential election, and underscore efforts by Trump allies to gain insight about the release of information they expected would embarrass Democratic opponent Hillary Clinton.

The documents FBI affidavits submitted to obtain search warrants in the criminal investigation into Stone were released following a court case brought by The Associated Press and other media organizations.

They were made public as Stone, convicted last year in Mueller's investigation into ties between Russia and the Trump campaign, awaits a date to surrender to a federal prison system that has grappled with outbreaks of the coronavirus.

In a June 2017 Twitter direct message cited in the records, Stone reassured Assange that the issue was "still nonsense" and said "as a journalist it doesn't matter where you get information only that it is accurate and authentic."

He cited as an example the 1971 Supreme Court ruling that facilitated the publishing by newspapers of the Pentagon Papers, classified government documents about the Vietnam War.

"If the US government moves on you I will bring down the entire house of cards," Stone wrote, according to a transcript of the message cited in the search warrant affidavit. "With the trumped-up sexual assault charges dropped I don't know of any crime you need to be pardoned for best regards. R."

Stone was likely referring to a sexual assault investigation dropped by Swedish authorities. Assange, who at the time was holed up in the Ecuadorian Embassy in London, was charged last year with a series of crimes by the U.S. Justice Department, including Espionage Act violations for allegedly directing former Army intelligence analyst Chelsea Manning in one of the largest compromises of classified information in U.S. history.

According to the documents, Assange, who is imprisoned in London and is fighting his extradition to the United States, responded to Stone's 2017 Twitter message by saying: "Between CIA and DoJ they're doing quite a lot. On the DoJ side that's coming most strongly from those obsessed with taking down Trump trying to squeeze us into a deal."

Stone replied that he was doing everything possible to "address the issues at the highest level of Government."

The records illustrate the Trump campaign's curiosity about what information WikiLeaks was going to make public. Former White House adviser Steve Bannon told Mueller's team under questioning that he had asked Stone about WikiLeaks because he had heard that Stone had a channel to Assange, and he was hoping for more releases of damaging information.

Mueller's investigation identified significant contact during the 2016 campaign between Trump associates and Russians, but did not allege a criminal conspiracy to tip the outcome of the presidential election.

In a statement Tuesday, Stone acknowledged that the search warrant affidavits contain private communication, but insisted that they "prove no crimes."

"I have no trepidation about their release as they confirm there was no illegal activity and certainly no Russian collusion by me during the 2016 Election," Stone said. "There is, to this day, no evidence that I had or knew about the source or content of the Wikileaks disclosures prior to their public release."

Stone was among six associates of Trump charged in Mueller's investigation. He was convicted last year of lying to House lawmakers, tampering with a witness and obstructing Congress' own Russia probe.

A judge in February sentenced Stone to 40 months in prison in a case that exposed fissures inside the Justice Department the entire trial team quit the case amid a dispute over the recommended punishment and between Trump and Attorney General William Barr, who said the president's tweets about ongoing cases made his job "impossible."

____

Associated Press writer Jill Colvin in Washington contributed to this report.

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FBI reveals Roger Stone was directly communicating with Julian Assange - Business Insider

Assange and jailed Catalans among those to write to UN over continued detention – The National

CATALAN political prisoners, along with Wikileaks founder Julian Assange and activists from around the world have all signed a letter to the UN High Commissioner for Human Rights criticising their continued detention during the coronavirus pandemic.

Their letter to former Chilean president Michelle Bachelet came after the Council of Europe, Amnesty International and Human Rights Watch all recommended reducing prison populations because of the high risk of spreading the disease.

Bachelet last month called on governments to take urgent measures to protect the health and safety of those in prison or detained in other facilities to curb the spread of Covid-19.

She said these included the elderly, the sick, each and every person who is imprisoned without sufficient legal basis, including political prisoners and others detained for having expressed critical or dissenting opinions, as well as low-risk prisoners.

Catalonias political prisoners say they are concerned that many states are not complying with their recommendations and, as Bachelet said, keeping prisoners in detention during this pandemic carries a high risk for their lives and health, especially given the lack of hygiene and health facilities, as well as overcrowding in prisons and detention centres in most of their countries.

The signatories say the danger comes from the risk of outbreaks of the virus, and from the repression against the protests that some prisoners have carried out in different detention centres.

Assange was dragged out of the Ecuadorian embassy in London and arrested a year ago, after Ecuador revoked his political asylum and invited officers from the Metropolitan Police into their premises.

He had been living there for more than six years and is now being held on remand in Belmarsh jail in London, after serving a 50-week sentence for violating bail conditions.

Assange is facing a hearing next month on US attempts to extradite him for questioning about Wikileaks activities and potential espionage charges.

Among the signatories are the jailed Catalan civic and political leaders: Jordi Sanchez, former president of the Catalan National Assembly (ANC); president of Omnium Cultural, Jordi Cuixart; former Catalan Government vice-president Oriol Junqueras; Carme Forcadell, ex-speaker of the Catalan Parliament and former ANC president; and former Catalan Government ministers Raul Romeva, Joaquim Forn, Dolors Bassa, Josep Rull and Jordi Turull.

All are entitled to regular temporary leave under Spains penal code, but the Supreme Court has already warned prison boards that allowing them home during their confinement period could constitute a breach of official duty.

Should the boards approve their release, the court said it would ask them to explain the legal basis behind this decision at the earliest opportunity.

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Assange and jailed Catalans among those to write to UN over continued detention - The National

Israel mentioned in newly released FBI documents regarding Stone and Trump’s 2016 campaign – Haaretz

Weeks after Robert Mueller was appointed special counsel in the Russia investigation, Roger Stone, a confidant of President Donald Trump, reassured WikiLeaks founder Julian Assange in a Twitter message that if prosecutors came after him, I will bring down the entire house of cards, according to FBI documents made public Tuesday.

Those records also include mentions of "Israel", "Jerusalem", "October surprise", and a "cabinet minister" who would supposedly meet Trump, although the redacted documents offer no clear details.

The documents FBI affidavits submitted to obtain search warrants in the criminal investigation into Stone were released following a court case brought by The Associated Press and other media organizations.

They were made public as Stone, convicted last year in Muellers investigation into ties between Russia and the Trump campaign, awaits a date to surrender to a federal prison system that has grappled with outbreaks of the coronavirus.

The documents include these key quotes:

One entry dated on or about August 12, 2016, reads: [NAME REDACTED] messaged STONE, Roger, hello from Jerusalem. Any progress? He is going to be defeated [sic] unless we intervene. We have critical intell. The key is in your hands! Back in the US next week. How is your Pneumonia? Thank you.[REDACTED] STONE replied, I am well. Matters complicated. Pondering. R.,[REDACTED] Thank You.

On August 20, 2016, CORSI told STONE that they needed to meet with [NAME REDACTED]to determine what if anything Israel plans to do in Oct." CORSI refers to Jerome Corsi, the right-wing American author, political commentator, and conspiracy theorist.

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On or about.June 21, 2016, [NAME REDACTED] messaged STONE, "RS: Secret I Cabinet Minister [NAME REDACTED] in NYC Sat. June 25. Available for DJT meeting [REDACTED]. " According to publicly-availabe information, during this time [NAME REDACTED] was a Minister without portfolio in the[REDACTED] cabinet dealing with issues concerning defense and foreign affairs.

It's not clear from the newly released court documents if the minister mentioned is indeed Israeli, whether the "October surprise" has anything to do with Israel and who initiated the contact with Stone and Trump Israel or another person and of what nationality.

The meeting with the minister did not apparently take place: "On or about June 25, 2016, [NAME REDACTED] messaged Stone, "Roger, Minister left. Sends greetings from PM. 5 When am I meeting DJT? Should I stay or leave Sunday as planned? Hope you are well.[REDACTED]"

On or about June 28, 2016, [NAME REDACTED] messaged STONE, RETURNING TO DC AFTER URGENT CONSULTATIONS WITH PM IN ROME.MUST MEET WITH YOU WED. EVE AND WITH DJ TRUMP THURSDAY IN NYC.

Netanyahu was indeed in Italyat the end of June 2016 on an official state visit - but it's unclear if the quotes in the document are related to the Israeli PM.

Assange and Stone

The records primarily reveal the extent of communications between Stone and Julian Assange, whose anti-secrecy website published Democratic emails hacked by Russians during the 2016 presidential election, and underscore efforts by Trump allies to gain insight about the release of information they expected would embarrass Democratic opponent Hillary Clinton.

In a June 2017 Twitter direct message cited in the records, Stone reassured Assange that the issue was still nonsense and said as a journalist it doesnt matter where you get information only that it is accurate and authentic.

He cited as an example the 1971 Supreme Court ruling that facilitated the publishing by newspapers of the Pentagon Papers, classified government documents about the Vietnam War.

If the US government moves on you I will bring down the entire house of cards, Stone wrote, according to a transcript of the message cited in the search warrant affidavit. With the trumped-up sexual assault charges dropped I dont know of any crime you need to be pardoned for best regards. R.

Stone was likely referring to a sexual assault investigation dropped by Swedish authorities. Assange, who at the time was holed up in the Ecuadorian Embassy in London, was charged last year with a series of crimes by the U.S. Justice Department, including Espionage Act violations for allegedly directing former Army intelligence analyst Chelsea Manning in one of the largest compromises of classified information in U.S. history.

According to the documents, Assange, who is imprisoned in London and is fighting his extradition to the United States, responded to Stones 2017 Twitter message by saying: Between CIA and DoJ theyre doing quite a lot. On the DoJ side thats coming most strongly from those obsessed with taking down Trump trying to squeeze us into a deal.

Stone replied that he was doing everything possible to address the issues at the highest level of Government.

The records illustrate the Trump campaigns curiosity about what information WikiLeaks was going to make public. Former White House adviser Steve Bannon told Muellers team under questioning that he had asked Stone about WikiLeaks because he had heard that Stone had a channel to Assange, and he was hoping for more releases of damaging information.

Muellers investigation identified significant contact during the 2016 campaign between Trump associates and Russians, but did not allege a criminal conspiracy to tip the outcome of the presidential election.

In a statement Tuesday, Stone acknowledged that the search warrant affidavits contain private communication, but insisted that they prove no crimes.

I have no trepidation about their release as they confirm there was no illegal activity and certainly no Russian collusion by me during the 2016 Election, Stone said. There is, to this day, no evidence that I had or knew about the source or content of the Wikileaks disclosures prior to their public release.

Stone was among six associates of Trump charged in Muellers investigation. He was convicted last year of lying to House lawmakers, tampering with a witness and obstructing Congress own Russia probe.

A judge in February sentenced Stone to 40 months in prison in a case that exposed fissures inside the Justice Department the entire trial team quit the case amid a dispute over the recommended punishment and between Trump and Attorney General William Barr, who said the presidents tweets about ongoing cases made his job impossible.

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Israel mentioned in newly released FBI documents regarding Stone and Trump's 2016 campaign - Haaretz

Coronavirus contact tracing apps were meant to save us. They won’t – Wired.co.uk

When youre in the supermarket queue in January 2021 socially distanced from those around you by two metres and the phone in your pocket buzzes with a notification from the contact tracing app you installed six months ago, the routine will be familiar. After all, you have been through the process multiple times already.

Someone you crossed paths with last week the app doesnt tell you who has tested positive for coronavirus. It tells you to go home straight away. You must self-isolate until a test has been completed. The test, as with those before it, was automatically ordered from a public health centre as soon as notification was sent to your phone.

This is our new normal. Contact tracing apps arent here for the short-term. After the first waves of coronavirus have passed and the public inquiries into government responses have started, the apps will still be watching over us. On their current trajectory they will become essential parts of our daily lives. And it will continue to be this way until a vaccine for coronavirus arrives.

The technology, officials seem to believe, will save us. Contact tracing apps have caught the imagination of politicians looking for ways to ease lockdowns and restart failing economies. They offer hope to world leaders looking for an answer to the tricky question of when the lockdown will end. They promise a return to normality, of sorts.

From Iceland to Israel, more than 30 systems are being developed by governments and health authorities. They promise to automate the laborious process of tracking down the contacts of infected individuals, helping to slow the spread of coronavirus through the population and save lives.

Inspired by China, Singapore, Taiwan and South Korea, all of which have used elements of digital tracing technology, huge faith is being placed in contact tracing apps. But there is little concrete evidence that they have any measurable effect. At best, tracing apps could aid the far more effective and complex sleuthing carried out by human contact tracers. At worst, the technology could prove useless, erode fundamental human rights and usher in unprecedented mass surveillance. Much of the hype around contact tracing apps, it seems, comes from anecdotal reporting rather than hard science.

This is absolutely new ground, explains Carly Kind, the director of the Ada Lovelace Institute, which has conducted a review of how technology can be used to ease coronavirus lockdowns. This is the first major epidemic or pandemic where these kinds of contract tracing apps have been under consideration. Theres not very much evidence at all to support the sustained benefit.

But we do know that manual contact tracing itself can be effective. Singapore, a technologically advanced but authoritarian state, was one of the first countries to introduce a contact tracing app. It was initially able to contain the spread of the virus. The conclusion many have come to is wrong: the contact tracing app had little to no effect.

Far more important was the role of human-led contact tracing. Teams of people, including police officers drafted in to help with the effort, conducted interviews with people who had contracted coronavirus. They asked where they had been for the last 14 days, who they had interacted with, and trawled through CCTV footage to track movements. Once an investigation had been completed and individuals identified, they checked whether those who had been in close contact with the infected person were unwell or showing any symptoms of the coronavirus.

Everything was going pretty well when it was manual and labour intensive, but the app is not replacing conventional tracing, this is just a supplement, says Dale Fisher, a professor of infectious diseases at the National University of Singapore who has been involved in the countrys response to coronavirus. He adds that contact tracing was one technique used in a wider package by Singaporean authorities. The country has also isolated its positive cases something not done by many others around the world and strictly enforced quarantines.

Taiwan has taken a similar approach, with the authorities working with telecoms companies to access phone location data. In South Korea, where manual contact tracing has also played a large part in its response, the Infectious Disease Control and Prevention Act gives authorities access to GPS, credit card, travel and health data.

In Asia, the data used by authorities to conduct contact tracing falls well outside of the limited remit of contact tracing apps being developed in the West. While the West focuses on using Bluetooth to track coronavirus, the success elsewhere has been based on analysing CCTV footage and phone location tracking. It doesnt necessarily follow that automated tracing, via phones, will be successful. The concern: will contact tracing apps being lauded by governments around the world end up doing more harm than good?

Getty Images / PAUL ELLIS / Contributor

Coronavirus has created a new type of surveillance. The most common type of contact tracing being developed shuns regular data collection methods a phones GPS location data or microphone to listen to surroundings for a more granular approach. Apps will largely use Bluetooth to gather details about people who are close to each other, and use these signals to create vast databases of close encounters.

This type of Bluetooth data collection, while not perfect, doesnt amass information on where people are in the world or monitor their precise movements. GPS data collection acts like a spy in your pocket, using satellite data to pinpoint your location. Bluetooth, which is a connection between nearby devices, cant tell whether youre at home or flouting lockdown regulations by gathering with friends. It merely communicates with the devices around it. Used in this way, Bluetooth gathers far less personal information than most of the apps on your phone.

For the tracking apps to work, the Bluetooth chip in any phone with it installed is essentially sending out pings while also listening for pings coming back. When one phone detects another it will record its unique identifying number against a database. Repeat this many millions of times and you can build up a fairly accurate picture of whos been near who. Get a confirmed coronavirus case and you can set in motion a chain reaction quarantines and tests.

Analysis from University of Oxford academics say manual contact tracing is too slow and cant be scaled up once an epidemic gets too big. We conclude that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale, the academics said.

This relies on high testing capacity being available but phone-based contact tracing could make it possible to notify tens of thousands of potentially infected people a day. If effective this would vastly reduce the amount of people interacting with others when they may be asymptomatic. Delaying contact tracing by even half a day from onset of symptoms can make the difference between epidemic control and resurgence, the researchers add.

Then there is the thorny and hugely contentious issues of where data is stored. On April 10, Apple and Google proposed a decentralised system where records of devices interacting with one another are stored on users phones. For this to work, each phone regularly downloads updated lists, allowing the system to send out alerts based on new movements and confirmed infections.

This approach stops one large database being created by health authorities or governments. Apple and Google havent committed to making their own apps, but rather have created a system that a myriad of apps can be built upon. Their system will be rolled out in mid-May. A European open-source project, DP3T, uses a similar system.

Some governments, including France and the UK, have opted to use centralised systems that dont follow the strict privacy guidelines set out by Apple and Google. (A centralised version of DP3T, called PEPP-PT also exists). This suggests that in the future officials may want their apps to collect more data than the random identifiers generated through Apple and Googles system. NHS documents show officials were considering adding the ability to send out notifications when people had been outside for too long. The NHS denies such a feature is being developed.

As a result, officials in France have called for tech firms to relax their privacy protections. Ministers have said they want to build an app that is tied to the countrys healthcare system. Apps that dont use the system developed by Apple and Google also face technical difficulties: this type of Bluetooth signal broadcasting will not work on iPhones when the app is open in the background or when the screen is locked.

Such calls for weaker privacy protections are likely to be rebuffed. If the companies were to change tact for one country, they would have to do so for all. Apple doesnt budge on its privacy red lines just ask the FBI. Meanwhile, German officials have backtracked from a centralised approach after facing a surveillance backlash from civil liberty groups and the public.

At the heart of the clash between centralised versus decentralised systems is a fundamental question: can you make contact tracing apps useful? In this nascent development community, there is a tension: do these apps produce the necessary results? Does the claim that they will help us return to some form of normality stand up? According to researchers at the KU Leuven Institute for the Future in Belgium, evidence for their effectiveness in managing disease outbreaks is limited.

Just ask Singapore. If you ask me whether any Bluetooth contact tracing system deployed or under development, anywhere in the world, is ready to replace manual contact tracing, I will say without qualification that the answer is: no, Jason Bay, a lead developer on Singapores TraceTogether app wrote in a blog post. He declined a request for an interview for this story. In the blog post, Bay argues its essential for humans to be involved in the contact tracing process due to the intensive sequence of difficult and anxiety-laden conversations" required and it would be technology triumphalism" to place too much hope in apps.

Others agree. One researcher working on the coronavirus response says its unlikely that any studies will ever be able to prove that a contact tracing app by itself has made any difference. The apps are intertwined with other response methods and it can be difficult to untangle the importance each contribution makes, they say. Similarly, officials from the Council of Europe have asked: Considering the absence of evidence of their efficacy, are the promises worth the predictable societal and legal risks?

And a team of experts from the non-profit Brookings Institution have cast doubt over how effective such apps are for individuals. Ultimately, contact tracing is a public health intervention, not an individual health one. It can reduce the spread of disease through the population, but does not confer direct protection on any individual, they argue. Officials in Belgium have ruled out using an app, preferring to focus their efforts on human contact tracers.

Another major issue for contact tracing apps is persuading people to actually use them. Academics at the University of Oxford involved in the development of the UKs contact tracing app have said 60 per cent of people would need to be using the app for it to work. These numbers are not yet being reached anywhere in the world.

Singapores TraceTogether has been downloaded by 20 per cent of the population, around 1.1 million people, and Australias has garnered more than two million downloads. Both are significant figures but not high enough to necessarily make a difference. In the US, three in five people have said they cant or wont use contact tracing apps. Oxfords analysis contradicts this: it say more than 75 per cent of people would be willing to use the apps in some countries.

None of the privacy measures or app efficacy matters if people dont download and use the apps. There is the chance that some people, including those who dont own smartphones, will be left behind. Theres a real risk that groups with low levels of trust in government are less likely to use the app, says Kind. Those same groups are the ones that are more likely to suffer from the ill effects of the illness.

Whats promoted as a panacea now could come back to bite us hard in the future. This is a slippery slope that leads to you being colour coded, says Alex Gladstein, chief strategy officer at Human Rights Foundation. In China thats already happened with people only being allowed to travel if their health status is listed as green, rather than amber of red. Gladstein worries that the apps could be co-opted, with officials adding more invasive features as the world goes through subsequent waves of coronavirus outbreaks.

The trade-off of using such apps is that we would, potentially, be allowed greater freedom: the freedom to go outside, to visit friends and family, to go out for dinner, to return to some form of normality. This is the issue that many tens of millions of people will grapple with in the coming months: what, really, is the price of freedom?

There are many things that could go wrong with contact tracing apps and plenty of them already have. The accuracy of Bluetooth may result in people being warned they have come into contact with people infected with coronavirus when in reality they were separated by a wall. A human contact tracer will similarly make mistakes, Bay wrote in his blog post. But the difference with humans conducting contact tracing is that they can use wider context, beyond a persons physical proximity, to determine whether there has been an exposure to coronavirus. Although as they do this, they are still recording data in some form.

Concerns have also been raised about the quality of the data collected by apps where users self-diagnose their conditions. Ultimately, people could lie in attempts to troll the system and force all of the people they have passed recently to go into quarantine. Australia has already seen one hoax related to its COVIDsafe app that has been shared hundreds of times on social media. The COVIDsafe app has detected you are now +20km from your nominated home address, the false message warned, before encouraging people to call the government to explain why they are so far from home. The scam forced the government to issue an official rebuttal.

And then theres the issue of data breaches. One proposed app that was presented to officials in the Netherlands leaked user data that belonged to another service created by the developers. Despite all these pitfalls, people are still downloading contact tracing apps in their millions. And as more are released, many million more people will follow.

But it is the long term consequences that could have a bigger impact than the short-term relief. Theres a chance that tracing apps will have health data built into them, or immunity certificates, and act as default definers of a persons status. Covid-19 is another sea change moment like 9/11 was, Gladstein says. Youre seeing a normalisation of surveillance. The NSA whistleblower Edward Snowden has said countries are building the architecture of oppression in response to the virus.

At the moment, coronavirus contact tracing apps are planned to be voluntary. But if theyre successful, it is not unthinkable that this could change. Each country developing a contact tracing app needs to decide what role the technology can play in their track and trace efforts.

Some apps may require people to check in with authorities to prove they are self-isolating. During his quarantine, Fisher says he was required to click on a link sent to him by the Singaporean authorities a couple of times a day. This would send back his location and confirm that people under quarantine were staying put.

An open letter from around 200 information security professionals in the UK called for safeguards to be placed on contact tracing apps. It is vital that, when we come out of the current crisis, we have not created a tool that enables data collection on the population, or on targeted sections of society, for surveillance, they wrote. In Taiwan, reports have emerged of people getting visits from the police when they have failed to report their location to authorities.

These approaches place greater importance on mass surveillance technologies. A Reuters report has found multiple surveillance technology companies, which produce the tools to hack into phones and monitor locations, have been touting their tools to governments as ways to fight the virus.

Israels spy agency had been tackling the location of the countrys infected until its Supreme Court banned the practice. The states choice to use its preventative security service for monitoring those who wish it no harm, without their consent, raises great difficulties and a suitable alternative must be found, the court ruled. The danger, privacy experts warn, is that authorities will be unwilling to give up the additional surveillance powers given to them by contact tracing apps especially if they are able to argue that the use of the technology helps keep people safe.

The mission creep has already started: politicians in Australia have been forced to bat away requests from police officials asking for any data created by its COVIDSafe app. In Canada, some coronavirus test results have been handed to the police.

Built-in legal protections are one way to avoid contact tracing apps being used to erode civil liberties. Alongside its app, Australia has published legislation that aims to protect the rights of individuals using the app. Elements of this legislation resemble a draft coronavirus safeguards bill published by Lilian Edwards, a Newcastle University Law School academic. Edwards legal protections state people should not be penalised for not having a phone, forgetting it when they go out, if the battery dies and people have the right to refuse to install tracing apps at any point in the future.

The decisions we make now, at a time of unprecedented political, economic and public health pressure, will have profound long term impacts. As with so much of our fight against coronavirus, when it comes to contact tracing apps we are flying blind. Until their use is widespread, we wont know how effective they are. And by then, it may be too late. If we allow the normalisation of mass surveillance in the name of public health it will be abused and we will regret it later, Gladstein says.

Matt Burgess is WIRED's deputy digital editor. He tweets from @mattburgess1

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Chelsea Manning ordered released from prison, fined …

A judge on Thursday ordered that former Army intelligence analyst Chelsea Manning be released from prison, where she was being held in contempt of court for refusing to testify in front of a grand jury. Manning was also ordered to pay $256,000 in fines accrued during her detention. The order comes just a day after Manning's legal team said she attempted suicide at the Virginia detention center where she was incarcerated.Judge Anthony Trenga ruled that Manning's "appearance before the Grand Jury is no longer needed, in light of which her detention no longer serves any coercive purpose." Manning's release is not dependent on her paying the $256,000.Manning's legal team did not immediately respond to CBS News' request for comment. The U.S. Attorney's Office in the Eastern District of Virginia declined to comment.

Manning, who worked as an intelligence analyst in Iraq, was convicted in 2013 for leaking classified government and military documents to WikiLeaks and given a 35-year military sentence. President Obama commuted her sentence in 2017 before he left office.Two years later, Manning was jailed again in March 2019 for refusing to testify in front of a grand jury investigating WikiLeaks. She was released approximately two months later when the grand jury's term expired but then was jailed again a week later for refusing to comply with a second subpoena from the new grand jury.At the time, the judge said she could be incarcerated for up to 18 months, and that she'd be fined $500 per day for 30 days, and $1,000 per day after 60 days.Manning has repeatedly objected to the grand juries and said she was not willing to testify. In 2019, she told Judge Trenga in a letter: "I object to this grand jury ... as an effort to frighten journalists and publishers, who serve a crucial public good. I have had these values since I was a child, and I've had years of confinement to reflect on them. For much of that time, I depended for survival on my values, my decisions, and my conscience. I will not abandon them now."

Clare Hymes contributed reporting.

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Chelsea Manning ordered released from prison, fined ...

Chelsea Manning Tries to Kill Herself in Jail, Lawyers Say …

Chelsea Manning, the former Army intelligence analyst who was jailed last year for refusing to testify before a grand jury that is investigating WikiLeaks, has been hospitalized after she attempted suicide on Wednesday, according to her lawyers.

Ms. Manning, 32, is currently recovering, according to her lawyers, who did not say how Ms. Manning tried to kill herself while at a detention center in Alexandria, Va., where she has been held since May.

The Alexandria Sheriffs Office confirmed only that there was an incident involving Ms. Manning at 12:11 p.m. and said, It was handled appropriately by our professional staff and Ms. Manning is safe.

A statement from Ms. Mannings legal team said she was still scheduled to appear on Friday at a hearing before Judge Anthony Trenga of the United States District Court for the Eastern District of Virginia.

At the hearing, the judge is expected to rule on whether to end the civil contempt sanctions imposed on Ms. Manning after she refused to testify before a grand jury investigating the publication of thousands of American military and diplomatic files that she had provided to WikiLeaks in 2010.

Ms. Manning was also detained for two months starting in March 2019 for refusing to testify, then briefly released when that grand jurys term ended taking advantage of the window to announce that she had a book deal that she said would focus on her personal life. But prosecutors subpoenaed her again for testimony before a new grand jury, and she again refused to testify and was locked up again.

In spite of those sanctions which have so far included over a year of so-called coercive incarceration and nearly half a million dollars in threatened fines she remains unwavering in her refusal to participate in a secret grand jury process that she sees as highly susceptible to abuse, said the statement from Ms. Mannings legal team.

Ms. Manning has previously indicated that she will not betray her principles, even at risk of grave harm to herself, the statement said.

Joshua Stueve, a spokesman for the office of the United States Attorney in the Eastern District of Virginia, declined to comment.

A federal prosecutor had previously said that the Justice Department did not want to have Ms. Manning detained, but she had a legal obligation to testify before a grand jury when subpoenaed.

Ms. Manning has attempted suicide at least two previous times, both in 2016 once while in solitary confinement at Fort Leavenworth, Kan., which was itself a punishment for an earlier attempt to end her life that year.

Her actions today evidence the strength of her convictions, as well as the profound harm she continues to suffer as a result of her civil confinement, Ms. Mannings lawyers said in their statement on Wednesday.

The grand jury investigation is part of a long-running inquiry into WikiLeaks and its founder, Julian Assange, that dates to the Obama administration and which the Trump administration revived.

Ms. Manning said that when she appeared before the grand jury, prosecutors had asked her questions about WikiLeaks, but she refused to answer every question, saying it violated her constitutional rights.

In a letter last year to Judge Trenga, Ms. Manning described the investigation as an effort to frighten journalists and publishers, who serve a crucial public good.

Before her current incarceration, Ms. Manning served seven years in a military prison, including 11 months of solitary confinement, the statement said.

She was originally convicted in 2013 of providing more than 700,000 government files to WikiLeaks, exposing American military and diplomatic affairs around the world.

President Barack Obama intervened in her case in 2017, commuting all but four months of her 35-year sentence.

Last year, the Justice Department unsealed criminal charges against Mr. Assange, who had been holed up in the Ecuadorean embassy in London but was arrested. Prosecutors initially charged him with a narrow hacking conspiracy offense, for purportedly agreeing to try to help Ms. Manning crack a password that would have let her log onto a military computer system under a different user name, and cover her tracks.

But prosecutors later drastically expanded the case against Mr. Assange by bringing charges against him under the Espionage Act for soliciting, receiving and publishing classified information an unprecedented effort to deem such journalistic activities (a separate issue from the debate over whether Mr. Assange himself counts as a journalist) as crimes that raise novel First Amendment issues. Mr. Assange has been fighting extradition in a London court.

The criminal case against Mr. Assange does not involve his later actions in publishing Democratic emails, stolen by Russian hackers, during the 2016 presidential campaign.

Sandra E. Garcia and John Ismay contributed reporting.

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Chelsea Manning Tries to Kill Herself in Jail, Lawyers Say ...