Node security model for wireless sensor networks based on a reputation system and data noise point detection technique
FU Junsong, LIU Yun
Key Laboratory of Communication and Information Systems of Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China
Abstract：The increased number of wireless sensor networks requires security for the sensor nodes. Since traditional information security systems based on cryptography cannot serve the complex safety issues threatening sensor nodes, the reputation system has been introduced into wireless sensor networks to periodically evaluate security nodes and assign reputation values. However, the reputation system cannot always distinguish some abnormal behavior in the sensor nodes, such as the monitoring data accuracy. As a result, some nodes can avoid monitoring by the reputation system which will affect user decisions. This paper presents a wireless sensor network node security model combining the reputation system with data noise detection. The reputation system provides the node reputations to the data noise detection model to more effectively detect data noise. The data noise detection model then feeds information back to the reputation system which accelerates the convergence rate of the reputation system. Simulations show that this node security model can simultaneously detect network and data attacks better than the traditional credit system model with a higher convergence rate.
付俊松, 刘云. 基于信誉系统及数据噪声点检测技术的无线传感器网络节点安全模型[J]. 清华大学学报（自然科学版）, 2017, 57(1): 24-27.
FU Junsong, LIU Yun. Node security model for wireless sensor networks based on a reputation system and data noise point detection technique. Journal of Tsinghua University(Science and Technology), 2017, 57(1): 24-27.
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