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Security cooperation model based on topology control and time synchronization for wireless sensor networks

机译:基于拓扑控制和时间同步的无线传感器网络安全协作模型

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To address malicious attacks generated from wireless sensor networks (WSNs), in this paper, we study the difficulty of detecting uncoordinated behavior by using a model that is unreliable and has uncontrollable accuracy, trustless control, and an inextensible protocol. A security collaboration model involving coupled state vectors associated with topology control and time synchronization is proposed. The networks achieve synchronization using weights and by controlling the number of goals. The simple calculation of time synchronization values between neighboring nodes serves as the basis for judging the behavior of the node topology control. The coupling state vector calculation is the core of the model. The topology coupling strength rate, signal intensity reduction, clock drift, and clock delay are combined to form a comprehensive model. The network energy consumption is reduced by updating the coupling state vector regularly. The coupling cooperation threshold is set to make security decisions and effectively distinguish between attack nodes and dead nodes. Thus, to ensure the security and reliability of the network, we present a security cooperation collection tree protocol (SC-CTP) scheme that maintains a trusted environment and isolates misbehaving nodes. The simulation results show that the model can detect malicious nodes effectively, has a high detection rate, and greatly reduces the energy consumption of the whole network. In order to verify the effectiveness of the proposed model, a large-scale wireless sensor network with 200 nodes was deployed on a campus. The proposed model was applied to optimize the deployment of key nodes on the campus. Furthermore, a candidate set of these nodes were selected to achieve coupling cooperation of key goals. This test verified the reliability of the model, its customizable accuracy, and the reliability of the control.
机译:为了解决由无线传感器网络(WSN)产生的恶意攻击,本文研究了使用不可靠,精度无法控制,不受信任的控制以及不可扩展的协议的模型来检测不协调行为的困难。提出了一种涉及拓扑控制和时间同步的耦合状态向量的安全协作模型。网络使用权重并通过控制目标数来实现同步。相邻节点之间时间同步值的简单计算可作为判断节点拓扑控制行为的基础。耦合状态向量的计算是模型的核心。拓扑耦合强度速率,信号强度降低,时钟漂移和时钟延迟相结合,形成了一个综合模型。通过定期更新耦合状态向量可以减少网络能耗。设置耦合协作阈值以制定安全决策并有效区分攻击节点和死节点。因此,为了确保网络的安全性和可靠性,我们提出了一种安全合作收集树协议(SC-CTP)方案,该方案维护受信任的环境并隔离行为异常的节点。仿真结果表明,该模型能够有效地检测出恶意节点,具有较高的检测率,并大大降低了整个网络的能耗。为了验证该模型的有效性,在校园内部署了一个具有200个节点的大规模无线传感器网络。所提出的模型用于优化园区中关键节点的部署。此外,选择这些节点的候选集以实现关键目标的耦合协作。该测试验证了模型的可靠性,可自定义的准确性以及控件的可靠性。

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