Investigators:
Michael Goodrich, University of California, Irvine
Roberto Tamassia, Brown University
The aim of this proposal is to develop efficient algorithms for cyber-security and privacy based on paradigms that enable efficient trusted computing in distributed environments. Specifically, this proposal is directed at developing and applying efficient algorithmic techniques to the problems of privacy management, measurement, and visualization. Deliverables of this project include distributed algorithms supporting cyber-security and privacy goals that have low latency and storage requirements, small communication costs, and fast, real-time interaction.