Three UC Berkeley faculty in Electrical Engineering and Computer Sciences have been awarded National Science Foundation grants of $150,000 to $350,000 for research into cybersecurity.
The grants, announced this week, are part of $74.5 million in funding that NSF awarded to support 257 interdisciplinary cybersecurity research projects in 27 states.
Computer science professor Dawn Song’s NSF-funded work will examine the security challenges of cryptocurrencies and contracts in the newly emerging, billion-dollar industry. Her primary research interests lie in security and privacy issues in computer systems and networks, including the security of software, networking, databases and distributed systems security, as well as applied cryptography. Full information about her project can be found on the NSF site.
Sanjit Seshia, an associate professor in EECS, will use his NSF grant to look at computer hardware design, with the goal of identifying potential security threats. Seshia’s research interests are in dependable computing and computational logic, with a current focus on applying automated formal methods to problems in cyber-physical systems, computer security, electronic design automation and synthetic biology. He is co-author of a widely used textbook on embedded systems and has led the development of technologies for cyber-physical systems education based on formal methods. Full information about his project can be found on the NSF site.
EECS professor David Wagner’s NSF-funded research will investigate some of the emerging security risks of wearable devices, particularly technologies that are capable of constant audio and video capture. Wagner’s research interests lie in cryptography and computer security. He worked with the source code for electronic voting systems to help make sure elections are fair and accurate. He also works on encryption and cryptanalysis. Full information about his project can be found on the NSF site.