scholarly journals A secure routing of wireless sensor networks based on trust evaluation model

2018 ◽  
Vol 131 ◽  
pp. 1156-1163 ◽  
Author(s):  
Tao Yang ◽  
Xu Xiangyang ◽  
Li Peng ◽  
Li Tonghui ◽  
Pan Leina
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Evaluation Model ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Trust Evaluation

scholarly journals Trust evaluation model for wireless sensor networks

2005 ◽  
Author(s):  
Junbcom Hur ◽  
Younho Lee ◽  
Hyunsoo Yoon ◽  
Daeseon Choi ◽  
Seunghun Jin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Evaluation Model ◽  
Wireless Sensor ◽  
Trust Evaluation

scholarly journals An Efficient Dynamic Trust Evaluation Model for Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Zhengwang Ye ◽  
Tao Wen ◽  
Zhenyu Liu ◽  
Xiaoying Song ◽  
Chongguo Fu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Evaluation Model ◽  
Trust Model ◽  
Weighted Averaging ◽  
Wireless Sensor ◽  
Trust Evaluation ◽  
Direct Trust ◽  
Dynamic Trust ◽  
Indirect Trust

Trust evaluation is an effective method to detect malicious nodes and ensure security in wireless sensor networks (WSNs). In this paper, an efficient dynamic trust evaluation model (DTEM) for WSNs is proposed, which implements accurate, efficient, and dynamic trust evaluation by dynamically adjusting the weights of direct trust and indirect trust and the parameters of the update mechanism. To achieve accurate trust evaluation, the direct trust is calculated considering multitrust including communication trust, data trust, and energy trust with the punishment factor and regulating function. The indirect trust is evaluated conditionally by the trusted recommendations from a third party. Moreover, the integrated trust is measured by assigning dynamic weights for direct trust and indirect trust and combining them. Finally, we propose an update mechanism by a sliding window based on induced ordered weighted averaging operator to enhance flexibility. We can dynamically adapt the parameters and the interactive history windows number according to the actual needs of the network to realize dynamic update of direct trust value. Simulation results indicate that the proposed dynamic trust model is an efficient dynamic and attack-resistant trust evaluation model. Compared with existing approaches, the proposed dynamic trust model performs better in defending multiple malicious attacks.

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