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Abstract:

With the rapid growth of IoT devices indicate the raise of the Internet of Trillion Things in the near future. These devices will be more connected with each other to better serve the consumers. Such benefits come at a cost of security and privacy risks. Prior works explore various problematic security and privacy issues related to these emerging technologies, but they are not expandable to cross-platform settings. Because these emerging systems operate in a black-box fashion, have diverse implementations, and contain cross-language complex interaction. We overcome those challenges using our data-driven approaches and demonstrate the effectiveness by performing several studies including -- (1) analyzing the application's description to find unnecessary access to the user's sensitive information, (2) investigating policy documents to identify unauthorized access to the user's health information, (3) explore source code written in different languages to detect GDPR compliance of user information flow.

In this talk, I will discuss how I have leveraged machine learning and program analysis tools to detect security and privacy issues in cross-platforms where multiple devices and programming language interacts with each other.

Bio:

Faysal Hossain Shezan is currently pursuing a Ph.D. degree in the Department of Computer Science at the University of Virginia, working with prof. Yuan Tian. His research interest lies in the intersection of security & privacy with cyber-physical systems, medical healthcare, software engineering, and machine learning. He is especially interested in data-driven security and privacy analysis in emerging systems. The goal of his research is to measure the attack surface of the IoT platforms, analyze privacy leakages among inter-connected home automation applications and investigate the enforcement of privacy policies. His research findings are acknowledged by the industry (i.e., Google) and resulted in the publishing of 12 CVEs. He is fortunate to receive a few awards and recognition during his Ph.D., including- CPS Rising Stars, Copenhaver Charitable Trust Bicentennial Fellowship’23, Carlos and Esther Farrar Fellowship’22, and Link Lab outstanding graduate research award.

Zoom link: https://www.cs.wm.edu/zoom

Contact

Adwait Nadkarni

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• Arts & Sciences Events
• Computer Science Events