A Reputation System Using a Bayesian Statistical Filter in Vehicular Networks

The rapid development of wireless technologies has led to the emergence of new types of highly dynamic networks with centralized and decentralized architectures. Vehicular networks (VANETs) technology is one of those networks. The communication between vehicles will lead to more efficient and secure...

Full description

Saved in:
Bibliographic Details
Published in2020 Sixth International Conference on Mobile And Secure Services (MobiSecServ) pp. 1 - 7
Main Authors Begriche, Y., Khatoun, R., Rachini, A., Khoukhi, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2020
Subjects
Bayes methods
Bayesian Filter
Blackhole
Internet
misbehavior detection
Monitoring
Reputation
Roads
Security
Vehicles
Wireless communication
Online AccessGet full text

Cover

More Information
Summary:The rapid development of wireless technologies has led to the emergence of new types of highly dynamic networks with centralized and decentralized architectures. Vehicular networks (VANETs) technology is one of those networks. The communication between vehicles will lead to more efficient and secured roads by providing information about traffic and road conditions to vehicle drivers. In order to protect vehicle passengers and drivers, these networks need a secure infrastructure to prevent malicious behavior from happening. This paper proposes a strong reputation system based on a Bayesian statistical filter to detect malicious nodes which drop packets selectively or completely in VANETs. The proposed approach allows vehicles to interact in order to detect the malicious one, give it a bad reputation and exclude it from the network.
ISSN:2640-558X
DOI:10.1109/MobiSecServ48690.2020.9042960