Abstract:

Cooperative spectrum sensing is a key function for dynamic spectrum access (DSA) and is essential for avoiding interference with licensed primary users and identifying spectrum opportunities. A promising method for effective cooperative sensing over a large geographic region is to adopt the emerging crowdsourcing paradigm whereby a special spectrum-sensing providers (SSP) outsources spectrum-sensing tasks to distributed mobile users, which we call crowdsourcing-based cooperative spectrum sensing (CCSS). In CCSS, mobile users submit their spectrum sensing reports to SSP, which in turn combine multiple sensing reports to decide licensed primary users' activities. CCSS faces many security and privacy challenges such as secure incentive design, mobile user privacy, secure combination against forged sensing reports, and spectrum misuse detection. In this talk, I will first discuss how to protect the location privacy of mobile users. Then I will present a secure combination scheme that can reliably detect primary users' activities even when the majority of spectrum-sensing reports are forged.

Bio:

Yanchao Zhang received the B.E. in Computer Science & Technology from Nanjing University of Posts & Telecommunications in 1999, the M.E. in Computer Science & Technology from Beijing University of Posts & Telecommunications in 2002, and the Ph.D. in Electrical and Computer Engineering from the University of Florida in 2006. He is currently an Associate Professor in School of Electrical, Computer and Energy Engineering at Arizona State University.
His research focuses on security & privacy issues in wireless networks and mobile systems, wireless and mobile health, social networks, smart grids, and cloud computing. He is an Editor of IEEE Transactions on Mobile Computing, IEEE Transactions on Control of Network Systems, IEEE Transactions on Vehicular Technology, and IEEE Wireless Communications. He received the US National Science Foundation CAREER Award in 2009 and is a senior member of IEEE.