Open Access

ARTICLE

Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing

Weijin Jiang^{1, 2, 3}, Yang Wang^1,*, Yirong Jiang^4,*, 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: ;
  Yirong Jiang; Email: .

Computers, Materials & Continua 2020, 62(1), 123-136. https://doi.org/10.32604/cmc.2020.05933

Abstract

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.

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Keywords

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Citations