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Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks

机译：无线传感器网络中基于时间同步信任的访问控制模型

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摘要

Internal reliability and external safety of Wireless Sensor Networks (WSN) data transmission have become increasingly outstanding issues with the wide applications of WSN. This paper proposes a new method for access control and mitigation of interfering noise in time synchronization environments. First, a formal definition is given regarding the impact interference noise has on the clock skew and clock offset of each node. The degree of node interference behavior is estimated dynamically from the perspective of time-stamp changes caused by the interference noise. Secondly, a general access control model is proposed to resist invasion of noise interference. A prediction model is constructed using the Bayesian method for calculating the reliability of neighbor node behavior in the proposed model. Interference noise, which attacks the time synchronization, is regarded as the key factor for probability estimation of the reliability. The result of the calculations determines whether it is necessary to initiate synchronization filtering. Finally, a division of trust levels with bilinear definition is employed to lower interference noise and improve the quality of interference detection. Experimental results show that this model has advantages in system overhead, energy consumption and testing errors, compared to its counterparts. When the disturbance intensity of a WSN increases, the proposed optimized algorithm converges faster with a lower network communication load.
机译：随着WSN的广泛应用，无线传感器网络（WSN）数据传输的内部可靠性和外部安全性已成为日益突出的问题。本文提出了一种新的时间同步环境下的访问控制和干扰噪声缓解方法。首先，给出了关于干扰噪声对每个节点的时钟偏斜和时钟偏移的影响的正式定义。从干扰噪声引起的时间戳变化的角度动态估计节点干扰行为的程度。其次，提出了一种通用的访问控制模型来抵御噪声干扰。使用贝叶斯方法构建了预测模型，用于计算所提出模型中邻居节点行为的可靠性。攻击时间同步的干扰噪声被认为是可靠性概率估计的关键因素。计算结果确定是否有必要启动同步过滤。最后，采用具有双线性定义的信任级别划分来降低干扰噪声并提高干扰检测的质量。实验结果表明，与同类模型相比，该模型在系统开销，能耗和测试错误方面具有优势。当无线传感器网络的干扰强度增加时，所提出的优化算法收敛速度更快，网络通信负载更低。

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