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An intelligent approach for building a secure decentralized public key infrastructure in VANET

机译:在VANET中构建安全的分散式公共密钥基础结构的智能方法

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摘要

This paper proposed an efficient decentralized public key infrastructure (PKI) using the concepts of Bayesian Coalition Game (BCG) and Learning Automata (LA). LA are assumed as the players in the game, which coordinate among one another for information sharing. To preserve the confidentiality and integrity of the messages, dynamic coalition among the players of the game is formulated using symmetric key encryption and hash-based message authentication. Also, privacy preservation and certificate revocation are included in the proposed scheme to defend against the misbehaving vehicles. For each action taken by an automaton, its action may be rewarded/penalized by the environment in which it operates. LA update their actions probability matrices by getting the reinforcement signal from the environment. The performance of the proposed scheme is evaluated with respect to various metrics in comparison to the other state-of-the-art existing schemes. The results obtained prove the superiority of the proposed scheme.
机译:本文利用贝叶斯联盟博弈(BCG)和学习自动机(LA)的概念,提出了一种高效的分散式公共密钥基础结构(PKI)。洛杉矶被假定为游戏中的玩家,它们之间相互协作以共享信息。为了保持消息的机密性和完整性,使用对称密钥加密和基于哈希的消息身份验证来制定游戏玩家之间的动态联盟。此外,隐私保护和证书吊销也包括在提议的方案中,以防止车辆行为不当。对于自动机执行的每个动作,其动作可能会受到其运行环境的奖励/惩罚。洛杉矶通过从环境中获取加固信号来更新其行动概率矩阵。与其他最新的现有方案相比,针对各种指标评估了所提出方案的性能。获得的结果证明了该方案的优越性。

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