5月23日学术报告

题目: Defending against Sybil attacks in Crowdsensing

时间：5月23日上午9点30分

报告人：杨德俊博士（第六届国际交叉学科论坛）

报告地点：网络安全学院五楼报告厅

摘要: With the rapid proliferation of mobile devices equipped with rich on-board sensors (e.g., camera, accelerometer, compass, etc.), crowdsensing emerges as a new sensing paradigm, which outsources sensing tasks to a crowd of ubiquitous participants. The Sybil attack is a harmful threat to crowdsensing, in which a malicious user illegally forges multiple identities to participate in the system. It can allow a rapacious user to receive more rewards without contributing extra efforts. In addition, it can even enable a malicious party to control the crowdsensing results. This talk will present how to defend against Sybil attacks in crowdsensing using a combination of economic and systematic approaches.

报告人简介: Dejun Yang is an Associate Professor in the Computer Science Department at Colorado School of Mines. He received the Ph.D. degree in Computer Science from Arizona State University in 2013 and the B.S. degree in Computer Science from Peking University in 2007. His research interests include Internet of things, networking, and mobile sensing and computing, with a focus on the application of game theory, optimization, algorithm design, and machine learning to resource allocation, security and privacy problems. He has received the 2019 IEEE Communications Society William R. Bennett Prize (only one of the papers published in the IEEE/ACM Transactions on Networking and the IEEE Transactions on Network and Service Management in the previous three years), Best Paper Awards at GLOBECOM'15, ICC'12, ICC'11, and MASS'11, as well as a Best Paper Runner-Up at ICNP'10. He is the TPC vice chair for information systems for INFOCOM 2020, a student travel grant co-chair for INFOCOM 2018-2019 and was a symposium co-chair for ICNC 2016.