We take a closer looking at some of the more unusual security research that was presented at this year's virtual Hacker Summer Camp The annual Hacker Summer Camp traversed from Las Vegas into the wilds of cyberspace this year, thanks to the coronavirus pandemic, but security researchers still rose to the challenge of maintaining the traditions of the event in 2020. As well as tackling core enterprise and web security threats, presenters at both Black Hat and DEF CON 2020 took hacking to weird and wonderful places. Anything with a computer inside was a target – a definition that these days includes cars, ATMs, medical devices, traffic lights, voting systems and much, much more. Security researcher Alan Michaels brought a new meaning to the phrase "insider threat" with a talk about the potential risk posed by implanted medical devices in secure spaces at Black Hat 2020. An aging national security workforce combined with the burgeoning, emerging market for medical devices means that the risk is far from theoretical.
Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases. The COVID-19 pandemic has resulted in an accelerated development of applications for digital health, including symptom monitoring and contact tracing. Their potential is wide ranging and must be integrated into conventional approaches to public health for best effect.
New York – The robots are no longer coming; they are here. The COVID-19 pandemic is hastening the spread of artificial intelligence, but few have fully considered the short- and long-run consequences. In thinking about AI, it is natural to start from the perspective of welfare economics -- productivity and distribution. What are the economic effects of robots that can replicate human labor? Such concerns are not new.
Artificial Intelligence In Energy Market 2020 research provides a detailed information of the industry including classifications, applications and industry chain structure. The Global Artificial Intelligence In Energy Industry analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. SWOT analysis has been used to understand the Thus, helping the companies to understand the threats and challenges in front of the businesses. Artificial Intelligence In Energy Market is showing steady growth and CAGR is expected to improve during the forecast period.
Privacy campaigners have expressed alarm after the government revealed it had hired an artificial intelligence firm to collect and analyse the tweets of UK citizens as part of a coronavirus-related contract. Faculty, which was hired by Dominic Cummings to work for the Vote Leave campaign and counts two current and former Conservative ministers among its shareholders, was paid £400,000 by the Ministry of Housing, Communities and Local Government for the work, according to a copy of the contract published online. In June the Guardian reported Faculty had been awarded the contract, but that key passages in the published version of the document describing the work that the company would carry out had been redacted. In response to questions about the contract in the House of Lords, the government published an unredacted version of the contract, which describes the company's work as "topic analysis of social media to understand public perception and emerging issues of concern to HMG arising from the Covid-19 crisis". A further paragraph describes how machine learning will be applied to social media data.
Clean.io, a startup that helps digital publishers protect themselves from malicious ads, recently announced that it has raised $5 million in Series A funding. The Baltimore-based company isn't the only organization promising to fight malvertising (such as ads that force visitors to redirect to another website). But as co-founder wrote Seth Demsey told me last year, Clean.io CEO Matt Gillis told me via email this week that the challenge will "always" be evolving." "Just like an antivirus company needs to constantly be updating their definitions and improving their protections, we always need to be alert to the fact that bad actors will constantly try to evade detection and get over and around the walls that you put in front of them," Gillis wrote. The company says its technology is now used on more than 7 million websites for customers including WarnerMedia's Xandr (formerly AppNexus), The Boston Globe and Imgur. Clean.io has now raised a total of $7.5 million. The Series A was led by Tribeca Venture Partners, with participation from Real Ventures, Inner Loop Capital, and Grit Capital Partners. Gillis said he'd initially planned to fundraise at the end of February, but he had to put those plans on hold due to COVID-19. He ended up doing all his pitching via Zoom ("I saw more than my fair share of small NY apartments") and he praised Tribeca's Chip Meakem (who previous investments include AppNexus) as "a world class partner." Of course, the pandemic's impact on digital advertising goes far beyond pausing Gillis' fundraising process. And when it comes to malicious ads, he said that with the cost of digital advertising declining precipitously in late March, "bad actors capitalized on this opportunity." "We saw a pretty constant surge in threat levels from mid-March until early May," Gillis continued. "Demand for our solutions have remained strong due to the increased level of attacks brought on by the pandemic.
Afew days before my return to classroom teaching at Sichuan University, I was biking across a deserted stretch of campus when I encountered a robot. The blocky machine stood about chest-high, on four wheels, not quite as long as a golf cart. In front was a T-shaped device that appeared to be some kind of sensor. The robot rolled past me, its electric motor humming. I turned around and tailed the thing at a distance of fifteen feet.
Attackers often look to take advantage of spikes in trends to launch attacks and trick innocent consumers into downloading malware or parting with sensitive, often financial, information. We saw it at the end of last year, when hackers took advantage of the increase in communication around Strong Customer Authentication (SCA) to steal credentials, as well as during Black Friday and Cyber Monday. Sadly, hackers are now jumping on the back of the widespread attention around the Coronavirus to try and bait victims into opening malicious attachments that they believe to be instructions around how to stay safe. Researchers at IBM X-Force have identified several campaigns where opening the attachment results in an Emotet downloader being installed silently in the background. Similarly, Kaspersky revealed that they've found "malicious pdf, mp4 and docx files disguised as documents relating to the newly discovered Coronavirus. The file names imply that they include virus protection instructions, current threat developments, and even virus detection techniques."
Under-testing remains a huge problem in the sprawling South American country, but AI is helping fill the gap, thanks to a system called RadVid-19 developed using algorithms from German company Siemens and Chinese firm Huawei. Brazil has been hit harder by the pandemic than any country except the United States, with nearly 2.8 million infections and 95,000 deaths. Experts say the numbers would be much higher if there were more widespread testing. RadVid-19 seeks to fill that gap, and help doctors decide the right course of treatment for their patients. It analyzes chest X-rays and CT scans to find spots on patients' lungs that are likely markers of infection by the new coronavirus.