Abstract:
With the rapid increasing of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. Auction based participant selection has been widely used by MCS system to achieve user incentive and task assignment optimization. However, auction-based approaches may lead to participants’ privacy concerns because participants’ bids may contain their private information (such as location visiting patterns). In this talk, I will present our recent study on how to protect such bid privacy in a temporally and spatially dynamic MCS system. Following the classical VCG auction, we carefully design a scalable grouping based privacy-preserving participant selection scheme, which leverages Lagrange polynomial interpolation to perturb participants’ bids within groups. The proposed solution can protect the bid privacy of participants while do not affect the operation of current MCS platform. In addition, we also propose a set of novel privacy-preserving grouping methods, which place participants into small groups over the hierarchical edge clouds and perform secure bidding only within each group. By doing so, the overall privacy- preserving participant selection can be more scalable. Both theoretical analysis and real-life tracing data simulations verify the efficiency and security of the proposed solution.
Bio:
Yu Wang is a Professor and Senior Associate Chair of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte). He holds a Ph.D. from Illinois Institute of Technology, an MEng and a BEng from Tsinghua University, all in Computer Science. His research interest includes wireless networks, mobile social networks, mobile smart sensing, and mobile computing. His research has been continuously supported by federal agencies including US National Science Foundation, US Department of Transportation, and National Natural Science Foundation of China (NSFC). He has published over 150 papers in peer reviewed journals and conferences, with four best paper awards. He is a recipient of Ralph E. Powe Junior Faculty Enhancement Awards from Oak Ridge Associated Universities (2006), Outstanding Faculty Research Award from College of Computing and Informatics at UNC Charlotte (2008), and Overseas Young Scholars Cooperation Research Fund from NSFC (2014). He is a fellow of IEEE and a senior member of ACM.
该讲座为前沿讲座，欢迎全校师生踊跃参加。
