Open AccessA Trust Assessment Model Based on Recommendation and Dynamic Self-adaptive in Cloud Service
Author(s) -
Yiqin Lu,
Ya-Hui Fang,
Jiancheng Qin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012007
Subject(s) - cloud computing , computer science , computer security , service (business) , service provider , internet privacy , business , marketing , operating system
Cloud computing is a completely distributed sharing platform, through which users can request personalized cloud services. With the continually expansion of cloud services scale, more and more service providers are offering services with similar functions but different qualities. Users are faced with the problem of selecting the most suitable cloud services from numerous cloud services. In this paper, a trust assessment model based on recommendation and dynamic self-adaptive in cloud service is proposed. In the trust assessment model, trust is divided into direct trust and indirect trust, which can make the evaluation of trust value more accurate. In addition, a recommendation mechanism is proposed in this paper, the third-party nodes make recommendations according to the actual situation, and accept reward or punishment automatically after interacting. Experiment shows that the model can accurately evaluate the trust between nodes, and effectively resist the attack of malicious nodes.