scholarly journals A dynamic trust evaluation mechanism based on affective intensity computing

2016 ◽  
Vol 9 (16) ◽  
pp. 3752-3761
Author(s):  
Guoqiang Zhou ◽  
Kuang Wang ◽  
Chen Zhao ◽  
Guofu Zhou
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 70298-70312
Author(s):  
Yang Xiao ◽  
Qingqi Pei ◽  
Xuefeng Liu ◽  
Shui Yu

2021 ◽  
pp. 230-239
Author(s):  
Wen Feng ◽  
Jieren Cheng ◽  
Yuming Yuan ◽  
Xinbin Xu ◽  
Yuqing Kou ◽  
...  

2013 ◽  
Vol 397-400 ◽  
pp. 1949-1953 ◽  
Author(s):  
Feng Li ◽  
Ya Li Si

Trust mechanism has been identified as one of key areas in the field of Internet security. Our objective in this paper is to develop a dynamic trust evaluation model for Internet computing. The proposed scheme divides the recommendation trust into the direct recommendation trust and the indirect recommendation trust, and considers variety of factors to calculate the two types of recommendation trust degree. Simulation results show that, compared to the existing trust model, the model can effectively improve the accuracy of trust evaluation, and provide a better capacity of resisting malicious entities.


2012 ◽  
Vol 155-156 ◽  
pp. 138-142
Author(s):  
Qi Zhu

In order to improve confidence of the node behavior the credibility assessing, this paper presents the nodes behavior of the trust evaluation mechanism based on sliding window, Through the sliding window Assessment strategies to ensure the trust assessment to meet the node behavior assessment principles, Assessment strategies is good combination of confidence assessment method of the subjective and assessment content of the objectivity to ensure contacts number ofa large number of nodes (Nmin) at the same time maintaining good scalability, trust assessment reflects the importance of the recent behavior and the attenuation of long-term behavior, with a "slow rise" and "fast drop" feature, the algorithm with good against fraud and punishment of malicious nodes .


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