Paper Info
Title
Optimized Anonymity Updating in VANET Based on Information and Privacy Joint Metrics.
Abstract
With the continuous development of the vehicular ad hoc network (VANET), many challenges related to network security have come one after another, among which privacy issues are particularly prominent. To help each network user decide when and where to protect their privacy, we suggest creating a user-centric privacy computing system in VANET. A risk assessment function and a set of decision weights are proposed to simulate the driver's decision-making intent in the vehicle network. Besides, proposed information and privacy joint metrics are used as the key indicators for dynamic selection of Mix-zone. Finally, by considering three influencing factors: maximum road capacity, user-centric quantitative privacy and attacker information measurement, defined mixzone creation mechanism to achieve privacy protection in VANET.
Year
DOI
Venue
2018
10.1145/3272036.3272039
MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems Montreal QC Canada October, 2018
Keywords
Field
DocType
Vehicular network, security, anonymity updating, privacy awareness
Privacy awareness,Computer science,Network security,Vehicle networks,Computer network,Anonymity,Computing systems,Vehicular ad hoc network
Conference
ISBN
Citations 
PageRank 
978-1-4503-5964-1
0
0.34
References 
Authors
7
6
Name
Order
Citations
PageRank
Xu Han101.35
Daxin Tian220432.49
Xuting Duan3264.92
Zhengguo Sheng444640.43
Yunpeng Wang519425.34
Victor C. M. Leung69717759.02