An Algorithm of Trust-based Secure Data Aggregation for Wireless Sensor Networks

被引：2
|
作者：
Ye Z.-W. [1 ,2 ]
Wen T. [1 ,3 ]
Liu Z.-Y. [1 ,3 ]
Fu C.-G. [1 ,3 ]
机构：
[1] School of Computer Science & Engineering, Northeastern University, Shenyang
[2] Tonghua Normal University, Tonghua
[3] Dalian Neusoft University of Information, Dalian
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2019年 / 40卷 / 06期
关键词：
Data aggregation; Malicious nod; Security; Trust model; Wireless sensor network;
D O I：
10.12068/j.issn.1005-3026.2019.06.006
中图分类号：
学科分类号：
摘要：
To resist the influence of the malicious attacks and the malfunctions of fault nodes in wireless sensor networks(WSNs)on data aggregation, this paper proposes an algorithm of trust-based secure data aggregation for WSNs. The algorithm is based on multi-layer non-uniform clustering network topology to achieve secure data aggregation, which can effectively balance the network energy consumption. The trust evaluation model is established based on the communication behavior and data correlation among the nodes. The dynamic trust integration mechanism and update mechanism are introduced to realize the trust evaluation intra-cluster and inter-cluster. Based on the trust value, a trusted aggregation node is chosen in the cluster to complete data fusion of trusted nodes. Simulation results show that the algorithm can achieve accurate and effective trust evaluation, identify internal malicious nodes, and obtain the data aggregation results with high accuracy. © 2019, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：789 / 794
页数：5
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