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Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing

Weijin Jiang1, 2, 3, Yang Wang1,*, Yirong Jiang4,*, Yuhui Xu1, Jiahui Chen1, Lina Tan1, Guo Liang5

1 Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Hunan University of Technology and Business, Changsha, 410205, China.
2 Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha, 410205, China.
3 School of Computer Science and Technology, Wuhan University of Technology, Wuhan, 430073, China.
4 Tonghua Normal University, Tonghua, 134002, China.
5 School of Bioinformatics, University of Minnesota, Twin Cities, USA.

* Corresponding Authors: Wang Yang. Email: email;
  Yirong Jiang; Email: email.

Computers, Materials & Continua 2020, 62(1), 123-136.


In mobile cloud computing, trust is a very important parameter in mobile cloud computing security because data storage and data processing are performed remotely in the cloud. Aiming at the security and trust management of mobile agent system in mobile cloud computing environment, the Human Trust Mechanism (HTM) is used to study the subjective trust formation, trust propagation and trust evolution law, and the subjective trust dynamic management algorithm (MASTM) is proposed. Based on the interaction experience between the mobile agent and the execution host and the third-party recommendation information to collect the basic trust data, the public trust host selection algorithm is given. The isolated malicious host algorithm and the integrated trust degree calculation algorithm realize the function of selecting the trusted cluster and isolating the malicious host, so as to enhance the security interaction between the mobile agent and the host. Given algorithm simulation and verification were carried out to prove its feasibility and effectiveness.


Cite This Article

W. Jiang, Y. Wang, Y. Jiang, Y. Xu, J. Chen et al., "Mobile internet mobile agent system dynamic trust model for cloud computing," Computers, Materials & Continua, vol. 62, no.1, pp. 123–136, 2020.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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