A Quantifiable Trust Model for Multi-agent System Based on Equal Relations

Author(s):  
Li Li ◽  
Hao Li ◽  
Gehao Lu ◽  
ShaoWen Yao
Author(s):  
Gehao Lu ◽  
Joan Lu

This chapter focuses on the testing for a complete systematic neural trust model developed previously based on the trust learning algorithms, trust estimation algorithm and reputation mechanisms. The focus is to describe the detailed design of the model and explain the rationales behind the model design. The purpose is to evaluate the proposed neural trust model from different aspects and analyze the results of the evaluations. Experiments have been conducted. Results are presented and discussed. Finally, based on the analysis and comparison of acquired results, conclusions are drawn.


Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 314
Author(s):  
Rui Andrade ◽  
Isabel Praça ◽  
Sinan Wannous ◽  
Sergio Ramos

In recent years Local Energy Markets (LEM) have emerged as an innovative and versatile energy trade solution. They bring benefits when renewable energy sources are used and are more flexible for consumers. There are, however, security concerns that put the feasibility of the local energy market at risk. One of these security challenges is the integrity of data in the smart-grid that supports the local market. In this article the LEM and the types of attacks that can have a negative impact on it are presented, and a security mechanism based on a trust model is proposed. A case study is elaborated using a multi-agent system called Local Energy Market Multi-Agent System (LEMMAS), capable of simulating the LEM and testing the proposed security mechanism.


Author(s):  
Guangzhu Chen ◽  
Zhishu Li ◽  
Zhihong Cheng ◽  
Zijiang Zhao ◽  
Haifeng Yan

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  

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