%0 Conference Proceedings %T A Reputation System Using a Bayesian Statistical Filter in Vehicular Networks %+ Télécom ParisTech %+ Université Libanaise %+ Equipe SAFE - Laboratoire GREYC - UMR6072 %+ École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN) %A Begriche, Youcef %A Khatoun, Rida %A Rachini, Ali %A Khoukhi, Lyes %< avec comité de lecture %B 2020 Sixth International Conference on Mobile And Secure Services (MobiSecServ) %C Miami Beach, United States %I IEEE %3 2020 Sixth International Conference on Mobile And Secure Services (MobiSecServ) %P 1-7 %8 2020-02-22 %D 2020 %R 10.1109/MobiSecServ48690.2020.9042960 %Z Computer Science [cs]/Networking and Internet Architecture [cs.NI] %Z Computer Science [cs]/Cryptography and Security [cs.CR]Conference papers %X 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. %G English %L hal-02519316 %U https://utt.hal.science/hal-02519316 %~ INSTITUT-TELECOM %~ CNRS %~ UNIV-TROYES %~ ENST %~ TELECOM-PARISTECH %~ GREYC %~ GREYC-MONEBIOM %~ COMUE-NORMANDIE %~ ENSICAEN %~ UNICAEN %~ LTCI %~ INFRES %~ CCN %~ IP_PARIS %~ IP_PARIS_COPIE %~ C2