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Dynamic Information Flow Tracking (DIFT) has been widely used in information and systems security to prevent disclosure of sensitive information and to identify certain types of program integrity violation. Motivated by these code-level security concerns, my group at Columbia University developed libDFT, one of the fastest DIFT mechanisms to date. The order-of-magnitude performance improvements we achieved led to my rethinking of the role of information flow in modern systems security, culminating in the creation of the DARPA Transparent Computing (TC) program. In this talk, I will provide my perspective on this 6-year research effort and some thoughts for the future.
Angelos Keromytis is an associate professor of computer science at Columbia University and director of the Network Security Lab. He is currently on leave from Columbia, serving as a program manager with the Information Innovation Office (I2O) at DARPA. He previously served as Program Director for the Secure and Trustworthy Cyberspace (SaTC) program at the National Science Foundation. His research interests broadly cover systems and network security. For more details, see http://www.cs.columbia.edu/~angelos