| Title | Research on Cloud End-User Behavior Trust Evaluation Model Based on Sliding Window |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Han, Liangshuang, Yu, Xuejun |
| Conference Name | 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) |
| Keywords | authentication, cloud computing, cloud terminal, composability, Computational modeling, Computer science, Conferences, Metrics, Optics, pubcrawl, resilience, Resiliency, sliding window, trust evaluation model, user behavior, Windows, Windows Operating System Security |
| Abstract | As a new service-oriented computing paradigm, cloud computing facilitates users to share and use resources. However, due to the dynamic and openness of its operating environment, only relying on traditional identity authentication technology can no longer fully meet the security requirements of cloud computing. The trust evaluation of user behavior has become the key to improve the security of cloud computing. Therefore, in view of some problems existing in our current research on user behavior trust, this paper optimizes and improves the construction of the evaluation index system and the calculation of trust value, and proposes a cloud end-user behavior trust evaluation model based on sliding window. Finally, the model is proved to be scientific and effective by simulation experiments, which has certain significance for the security protection of cloud resources. |
| DOI | 10.1109/TOCS53301.2021.9688730 |
| Citation Key | han_research_2021 |
Research on Cloud End-User Behavior Trust Evaluation Model Based on Sliding Window