First Technique for Detecting Hardware Timing Channels

test_flowThe article “Leveraging Gate Level Properties to Identify Hardware Timing Channels” was accepted to the IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems (TCAD). Jason was the lead author along with co-authors Sarah Meiklejohn (UCSD), Timothy Sherwood (UCSB), and Ryan. This paper formalizes how Gate Level Information Flow Tracking can be used to detect timing channels: a form of information leak where secret information can affect run time.

Dr. Chris Barngrover Defends His PhD Thesis

IMG_1024Congratulations to Dr. Barngrover on successfully defending his thesis titled “Automated Detection of Mine-Like Objects in Side Scan Sonar Imagery”. His PhD research focused detecting underwater mines using side scan sonar on autonomous underwater vehicles. He developed a number of computer vision techniques that can accurate detect these mines. Additionally, he developed the first method of using a brain-computer interface system to quickly identify the mines. During his time in the Kastner Group, he also became a skilled fisherman as evidenced by the nice rainbow trout that he caught during one of our group retreats in Mammoth. Dr. Barngrover will continue to work at SPAWAR after graduation.

Team FANGS Wins Honorable Mention at Cornell Cup

cornell cupTeam FANGS took home an honorable mention at the Cornell Cup. The team consisted of Engineers for Exploration members Xavier Tejeda, Dominique Meyer, Andrew Elgar, Kevin Cheng, and Jorge Pacheco. The team was advised by Ryan. These undergraduate students spent the past several months developing a terrestrial vehicle that is capable of remotely monitoring wolves at the California Wolf Center. They competed with over 30 teams in Orlando, FL on May 2-3.