Title: A Metric to Quantify Secrecy Level of System Behaviors
Speaker: Mariam Ibrahim, ECpE Graduate Student
Advisor: Ratnesh Kumar, Professor
Abstract: Secrecy is the ability to hide private information. For communicated information, this can be done through encryption, but the same is not doable for system behaviors, and in contrast, cover is introduced for providing ambiguity. Quantifying the ability to hide secrets is a challenge. In this presentation, I will give an overview of some known secrecy schemes as well as their limitations, and then will present an approach as a means to quantify secrecy in terms of a type of distance measure between a secret and its cover for partially-observed stochastic discrete event systems. This computation will be illustrated through a cache’s side-channel secrecy loss example.