The Department of Homeland Security, under a subcontract of the Hughes Research Laboratories (HRL), has awarded Chancellor’s Professor of Computer Science Gene Tsudik $300,000 for his project, “Secure Remote Attestation and Over-the-Air Software Updates for CPS (Cyber-Physical Systems).” The three-year project will focus on software and hardware co-design for the security of automotive Internet of Things (IoT) and Cyber-Physical Systems (CPS) components. The research specifically aims to develop techniques to mitigate remote malware and physical side-channel attacks.
With the onset of Internet of Things (IoT) technology, an enormous number of devices are now accessible via the Internet and are therefore vulnerable to cyberattack. Society is still adjusting to the fact that devices that people used to trust can now betray them in unexpected ways. Your television may expose your conversations, your printer may divulge your documents, and your fitness monitor may reveal your health information. All of these attacks become possible in the presence of IoT devices which are not designed with security in mind. System designers are trained to evaluate system design options in terms of their impact on system characteristics such as power, performance, and time-to-market, but security is a property which is less well understood. Designers of IoT devices need to have the ability to consider, both qualitatively and quantitatively, how design alternatives affect the security of the system. To do that, designers must understand the essential aspects of common cyberattacks.
Read the full story at Circuit Cellar.
Associate Professor of Computer Science Ian G. Harris, along with Mathias Soeken of the University of Bremen and the Swiss Federal Institute of Technology in Lausanne, is organizing an innovative upcoming design automation workshop, “Design Automation for Understanding Hardware Designs” (DUHDe), on March 18 in Dresden, Germany. DUHDe will will take place on the final day of the Design, Automation and Test in Europe Conference (DATE 2016), an annual trade show and conference focused on electronic design automation.
“We’re trying to study where there’s a trade-off between what you’re willing to share and what you get as a utility,” says computer science professor Sharad Mehrotra. “We want to know if there’s a way to build privacy protections on a layer in between the sensors and the end user.”
Read the full story at UCI News.
Associate Professor of Computer Science Charless Fowlkes has been awarded The Helmholtz Prize by the Institute of Electrical and Electronics Engineers (IEEE) for his paper “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” co-authored with then-UC Berkeley researchers David Martin, Doron Tal and Jitendra Malik in 2001.
The Institute of Electrical and Electronics Engineers (IEEE) has named Computer Science Professor Michael Franz a 2016 IEEE Fellow. Franz is being recognized by IEEE for his contributions to just-in-time compilation as well as his contributions to computer security through compiler-generated software diversity.
The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. It is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. The total number of fellows selected in any one year cannot exceed one-tenth of 1 percent of the total voting membership. “It is a great achievement receiving recognition from one’s peers and being included among such a distinguished group of IEEE members,” says Franz.
The IEEE is the world’s leading professional association for advancing technology for humanity with 400,000 members in 160 countries. Dedicated to the advancement of technology, the IEEE publishes 30 percent of the world’s literature in the electrical and electronics engineering and computer science fields, and has developed more than 900 active industry standards.
Although they emphasized that they would not be comfortable handing over this level of control to an algorithm, several speakers at the CERN workshop discussed how deep learning could be applied to physics. Pierre Baldi, an AI researcher at the University of California, Irvine who has applied machine learning to various branches of science, described how he and his collaborators have done research suggesting that a deep-learning technique known as dark knowledge might aid — fittingly — in the search for dark matter.
View the full story on the Nature website.
“Just like hostages wind up often getting passed around and sold like goods,” said Gene Tsudik, who heads the computer science department at UC Irvine. “This is really a complete takeover of one’s identity,” he said. … “Don’t over share,” Tsudik warned.
View the full story on the NBC Los Angeles website.
Ramesh Jain got the start-up bug a couple of decades ago. While spending a year at Stanford University as a visiting professor of computer science, he was stunned by the whirlwind of entrepreneurial activity among his fellow professors. “You’re developing something people really can use,” he says. “And it makes you a better researcher.”
Now, Jain, 66, who is a professor at the Bren School of Information and Computer Sciences at the University of California in Irvine, is launching his seventh enterprise, one that, he says, “brings together many concepts and ideas I’ve been researching for the past 20 years.”
Read the full story on the AARP website.