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Defending ON–OFF Attacks Using Light Probing Messages in Smart Sensors for Industrial Communication Systems

机译:在工业通信系统的智能传感器中使用光探测消息来防御ON-OFF攻击

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Industrial communication systems (ICSs) have become an important part of many automated applications. Smart sensors for ICSs have attracted much attention. Using smart sensors for ICSs can allow the surrounding world to connect with the production equipment to reduce human resource requirements. However, due to their operating nature, smart sensors are often unattended and prone to different kinds of attacks. Annon–offnattack is one behavior that can cause serious damage to wireless sensor networks in ICSs. To ensure network security, a trust joint light probe based defense (TLPD) mechanism is proposed in which each smart sensor node selects a smart sensor node with high trust as the next hop to improve network security. The TLPD scheme is constituted by three major components, including light probe routing, trust estimation, and trust-aware routing. Light probe routing is adopted for increasing the operation times of malicious nodes, and a trust evaluation scheme evaluates nodes trust according to operation behavior of nodes. Thus, the discrimination degree of node trust between temporary errors and disguised malicious behaviors can be increased compared to existing trust evaluation schemes. Thus, a malicious smart sensor node can be quickly and easily identified. The analytical results of the TLPD mechanism assessed are with a simulation experiment.
机译:工业通信系统(ICS)已成为许多自动化应用程序的重要组成部分。用于ICS的智能传感器已引起广泛关注。将智能传感器用于ICS可以使周围的世界与生产设备连接,以减少人力资源需求。但是,由于其运行特性,智能传感器通常无人值守并且容易受到各种攻击。 Ann 开/关攻击是一种行为,可能会严重损坏ICS中的无线传感器网络。为了保证网络安全,提出了一种基于信任的联合基于光探针的防御(TLPD)机制,其中每个智能传感器节点都选择具有高信任度的智能传感器节点作为下一跳,以提高网络安全性。 TLPD方案由三个主要组件组成,包括光探测器路由,信任估计和信任感知路由。采用光探针路由增加恶意节点的运行时间,信任评估方案根据节点的运行行为评估节点的信任度。因此,与现有的信任评估方案相比,可以增加临时错误和伪装的恶意行为之间的节点信任的区分程度。因此,可以快速且容易地识别恶意智能传感器节点。评估的TLPD机制的分析结果是通过模拟实验得出的。

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