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Towards Privacy-preserving Valet Parking in Autonomous Driving Era
发布时间:2019-10-22     来源:太阳成集团tyc4633   分享到:

报告题目Towards Privacy-preserving Valet Parking in Autonomous Driving Era

报告人:倪剑兵 教授,  加拿大Queen's University

报告时间10:30-12:30, 20191023

报告地点:长安校区 文津楼三段606

报告摘要: Automated valet parking, deemed as a key milestone on the way to autonomous driving, has great potential to improve the “last-mile” driving experience for users. On the other hand, it triggers serious risks on vehicle theft and location privacy leakage. To address these issues, in this seminar, we propose a secure and privacy-preserving automated valet parking protocol for self-driving vehicles. The proposed protocol is characterized by extending anonymous authentication to support two-factor authentication with mutual traceability for reducing the risks of vehicle theft and preventing the privacy leakage of users in automated valet parking. Specifically, based on one-time password and secure mobile devices, two-factor authentication is achieved between vehicles and smartphones to ensure vehicle security in remote pickup. By exploiting the BBS+ signature and the Cuckoo filter, user location privacy is protected against the curious parking lots and service providers. In addition, the traceable tags are designed to enable a trusted authority to identify the vehicles and users for localizing a stolen or missing vehicle and preventing the slandering of greedy users. Finally, formal security analysis on the proposed protocol is given to show that the authentication, anonymity and traceability can be reduced to standard hard assumptions, and performance evaluation demonstrates the proposed protocol is efficient and practical to be implemented in autonomous driving era.

报告人简介Dr. Jianbing Ni is currently an Assistant Professor at the Department of Electrical and Computer Engineering, Queen’s University. He received the PhD degree in Electrical and Computing Engineering (with cybersecurity focus) at the University of Waterloo in August, 2018, he obtained his B.S. degree on Information Security and the M.E. degree on Computer Science from the University of Electronic Science and Technology of China, China, in 2011 and 2014, respectively. He worked as a Postdoctoral Research Fellow at the Department of Electrical and Computer Engineering, University of Waterloo from Sept. 2018-Jun. 2019. His research interests include wireless communication and network security, mobile computing security, machine learning security, and Blockchain technology. Jianbing has extensive publications at prestigious journals, such as IEEE Transactions on Dependable and Secure Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, and IEEE Communications Surveys and Tutorials. He is the recipient of six best paper awards from highly selective conferences, including EAI SECURECOMM 2016, IEEE GLOBECOM 2017, IEEE ICC 2018, and IEEE MASS 2018.