Title
Bayesian-based model for a reputation system in vehicular networks
Abstract
Vehicular ad hoc networks (VANETs) are a cost-effective technology to enhance driving safety and traffic efficiency. In such promising networks, security is of prime concern because an attack by a malicious vehicle might have disastrous impact leading to loss of life. Reputation trust management has been proposed in the recent years as a novel way to tackle some of those not yet solved threats in VANETs. In this paper, we propose a robust distributed reputation model based on Bayesian filter. The model allows nodes to establish profiles (e.g., malicious, honest) on their neighbors and to detect malicious behaviors (e.g., black hole, gray hole). The simulation results proved that intentionally dropping packets in VANETs can be fully detected, with our proposed Bayesian filter, with high level of accuracy.
Year
DOI
Venue
2015
10.1109/SSIC.2015.7245332
2015 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications (SSIC)
Keywords
DocType
Citations 
Bayesian-based model,reputation system,vehicular ad hoc network,VANET,traffic efficiency enhancement,driving safety enhancement,robust distributed reputation model,reputation trust management,Bayesian filter
Conference
1
PageRank 
References 
Authors
0.40
10
4
Name
Order
Citations
PageRank
Begriche, Youcef Begriche1133.75
Rida Khatoun212217.66
Lyes Khoukhi330444.30
chen xiuzhen410.40