04/27/2022
By Ian Chen
Location: Via Zoom (Passcode: cstalks)
Time: Friday, April 29, 2022, 1:30-2:30 p.m.
Abstract: Database-driven Dynamic Spectrum Sharing (DSS) is the de facto technical paradigm approved by Federal Communications Commission (FCC) for increasing wireless spectrum access by allowing unlicensed wireless devices (secondary users) with cognitive radio capabilities to have more flexible and efficient access to the radio spectrum without causing interference to licensed wireless devices (primary users). Security and privacy concerns are among the most challenging obstacles to the wide deployment of database-driven DSS systems armed with spectrum-sensing outsourcing. In this talk, I will present two case studies about the security and privacy challenges in database-driven DSS systems. Specifically, I will introduce a novel spatiotemporal approach to allow the DBA to construct an accurate REM in the presence of false spectrum measurements. Then I will present a novel private-preserving reverse auction mechanism to stimulate mobile users’ participation in crowdsourced spectrum sensing while ensuring high REM accuracy, approximate truthfulness, and differential bid privacy.
Bio: Yidan Hu, Ph.D., is an Assistant Professor in the Department of Computing Security at Rochester Institute of Technology (RIT). She received her B.E. and M.E. degrees in Computer Science from Hangzhou Dianzi University in 2013 and 2016, respectively, and Ph.D. degree in Computer Science from the University of Delaware in 2021. Her research interests are security and privacy issues in networked and distributed systems with the current focuses on cognitive radio networks, mobile crowdsourcing, cloud computing, mobile computing, and private data analysis. She has published her research in various prestigious venues, including IEEE/ACM Transactions on Networking, IEEE INFOCOM, and IEEE ICNP, and won the Best Paper Runner-up at IEEE/ACM IWQoS 2019.
The colloquia will also be recorded. Please feel free to ask for access to all our events on the Computer Science website.