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Cluster-based Trust Management Approach to Mitigate Attacks in WBAN

机译:基于集群的信任管理方法,以减轻WBAN中的攻击

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The advent in Wireless Body Area Networks (WBANs) provides promising services for remote diagnostic and monitoring. The security requirements in this context are challenging and evolving. The WBAN should support these security requirements to continuously provide efficient services to patients. Trust management is one of the interesting security mechanisms that can be enforced to enhance the WBAN security. In this paper, we propose a new cluster-based approach to manage trust in WBAN. The clusters are defined based on the direct and indirect exchanges between nodes. Our approach is hybrid: it calculates the direct and the indirect trust based on the priority of forwarded messages, the feedbacks of different exchanges, and the credibility coefficient. The simulation results show the efficiency of our model against three different attacks: the on-off attack, the collusion attack, and the newcomer attack.
机译:无线体积网络(WBANS)中的出现提供了远程诊断和监控的有希望的服务。 在此上下文中的安全要求是挑战性和不断发展的。 WBAN应支持这些安全要求,以不断为患者提供有效的服务。 信任管理是可以强制加强WBAN安全的有趣安全机制之一。 在本文中,我们提出了一种新的基于集群的方法来管理WAN的信任。 基于节点之间的直接和间接交换来定义群集。 我们的方法是混合动力:它根据转发消息的优先级,不同交换的反馈和信誉系数来计算直接和间接信任。 仿真结果表明我们模型对三种不同攻击的效率:开关攻击,勾结攻击和新人攻击。

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