Recuperação do Serviço de Pelotão de Veículos Autônomos e Conectados Baseado em Modelos Virtuais Contra Ataques na Rede e Sensores

  • Everaldo Andrade UFMG
  • Aldri Santos UFMG

Abstract


Platoon formation of autonomous and connected vehicles (CAVs) is the most common topological structure of CAVs, where vehicles travel relatively close together, responding to the leader's commands and providing autonomous and intelligent transport services. However, with the evolution of CAV platoons, various types of attacks that inject false data into networks and sensors have compromised platoon stability, resulting in fragmentation or, in the worst case, serious collisions. This work proposes a mechanism, called PReCAV, for the cooperative recovery of CAVs platoon against false data injection attacks, supported by virtual and physical models of the system, in order to maintain resilience in the midst of network and sensor attacks. A simulation evaluation showed that PReCAV maintained the stability of the platoon by providing resilience, depriving it of variations of 4.42m/s2 of acceleration, 13m/s of speed and 40m of distance between vehicles in attacks in the network and variations of 4.43m/s2, 10.7m/s and 33.4m in sensor attacks.

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Published
2022-05-23
ANDRADE, Everaldo; SANTOS, Aldri. Recuperação do Serviço de Pelotão de Veículos Autônomos e Conectados Baseado em Modelos Virtuais Contra Ataques na Rede e Sensores. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 40. , 2022, Fortaleza. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 531-544. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2022.222366.

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