Professor of the Department of Computer Science
Title: Measurement and Experimentation in a Complex World
The complexity of the Internet has multiplied over the past decade, with massive increases in scale, heterogeneity, and mobility. This talk will explore this increase in complexity, and how to apply measurement and experimentation techniques to understand the complex Internet, and evaluate new design ideas in realistic settings. As examples, we will briefly discuss some of our work on adaptive measurement, and on conducting high-fidelity experiments at scale.
Sonia Fahmy is a professor of Computer Science at Purdue University. Her research interests lie in the design and evaluation of network architectures and protocols. She received the National Science Foundation CAREER award in 2003, and was named a Purdue University Faculty Scholar in 2016. Her research has been supported by grants from the government and industry including NSF, DHS, Cisco Systems, Hewlett-Packard, Northrop Grumman, Schlumberger, and BBN. She served on the organizing or technical program committees of several conferences including ACM SIGCOMM, SIGMETRICS, MOBICOM, and CoNEXT, and IEEE INFOCOM, ICNP, and ICDCS. She served on the editorial boards of IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, and IEEE Transactions on Computers.
SUNY Empire Innovation Professor, Department of Computer Science and Engineering
University at Buffalo, State University of New York
Director of Institute of Cyber Security Research, Zhejiang University, China
Title: Attributing Pictures to Smartphones via Camera Fingerprinting
Today’s society faces numerous data leakage incidents, which affect users’ privacy more severe than ever. Existing user authentication practices based on traditional cryptography and biometric techniques have become largely insufficient, if not ineffective, as we move into the AI and IoT era. In order to address this challenge, smartphones have been widely explored by both academia and industry as a readily available possession device of the users. In this talk, we explore the technique of camera fingerprinting to develop a brand-new hardware-rooted smartphone authentication mechanism. Various security issues underlying the proposed authentication mechanism are discussed in-depth. The usability of the proposed solution is also demonstrated through real-world experiments.
Kui Ren is Professor at Zhejiang University and State University of New York at Buffalo (UB). Kui’s current research interests include Data Security, IoT Security, and Privacy. He received IEEE CISTC Technical Recognition Award in 2017, UB Exceptional Scholar Award for Sustained Achievement in 2016, UB SEAS Senior Researcher of the Year Award in 2015, Sigma Xi/IIT Research Excellence Award in 2012, and NSF CAREER Award in 2011. Kui has published more than 200 papers in peer-reviewed journals and conferences and received several Best Paper Awards, including IEEE ICDCS’17, IWQoS’17, and ICNP’11. His h-index is 58, and his publication citation exceeds 21,000 in total. He currently serves as an area/associate editor for IEEE Trans. on Dependable and Secure Computing, IEEE Trans. on Service Computing, IEEE Trans. on Mobile Computing, IEEE Wireless Communications, IEEE Internet of Things Journal, and an editor for SpingerBriefs on Cyber Security Systems and Networks. Kui is a Fellow of IEEE, a Distinguished Scientist of ACM, and a past board member of Internet Privacy Task Force, State of Illinois.