An Improved Direct Trust Evaluation Algorithm for the Context-Aware Trust Model

2013 ◽  
Author(s):  
Yao Ma ◽  
Hongwei Lu ◽  
Zaobin Gan
Keyword(s):  
Trust Model ◽  
Context Aware ◽  
Trust Evaluation ◽  
Direct Trust ◽  
Evaluation Algorithm

scholarly journals Trust Evaluation Model for P2P Networks based on Time and Interaction

2018 ◽  
Vol 208 ◽  
pp. 05005
Author(s):  
Ke Xuemeng ◽  
Zhou Guofu ◽  
Du Zhoumin
Keyword(s):  
Evaluation Model ◽  
Attenuation Factor ◽  
Frequency Factor ◽  
Trust Model ◽  
P2p Network ◽  
Size Factor ◽  
Trust Evaluation ◽  
P2p Networks ◽  
Direct Trust ◽  
Indirect Trust

The traditional centralized trusting mechanism does not meet the requirements of the modern P2P network, so it is necessary to establish a distributed trusting mechanism to strengthen the system’s reliability. Factors including time attenuation factor, interactive frequency factor, interactive size factor and average online time factor markedly influence the trust of the nodes in a P2P network. This paper defines the precise effects of these factors on trust and proposes a comprehensive trust model and global trust model based on direct trust and indirect trust.

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.

scholarly journals Research on cloud computing service based on trust access control

2020 ◽  
Vol 12 ◽  
pp. 184797901989744 ◽  
Author(s):  
Panjun Sun
Keyword(s):  
Access Control ◽  
Evaluation Method ◽  
Research Performance ◽  
Cloud Service ◽  
Cloud Services ◽  
Trust Evaluation ◽  
Practical Application ◽  
Cloud Service Provider ◽  
Direct Trust ◽  
Cloud Computing Service

Recently, more and more network fraud incidents have damaged the interests of cloud service traders. To enhance mutual trust and win–win cooperation between the users and the cloud service provider, in the article, we construct a trust access control model for cloud services. First, we propose a trust evaluation method based on direct trust, trust risk, feedback trust, reward penalty, and obligation trust to express the complexity and uncertainty of trust relationship. Second, we propose trust evaluation and weight algorithm of trust factor by information entropy and maximum dispersion; therefore, our model has a better scientific and higher practical application value. Finally, we design related comparative experiments of three models to verify the efficiency, success rate, accuracy of trust evaluation, and privacy disclosure date, and these results show that our research performance is quite superior.

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