Biblio

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.

The development of cloud computing technology and the popularization of cloud services have a great impact on the industry. On the one hand, cloud technology enhances network's operation efficiency and reduces the cost. On the other hand, the cloud resource can be accessed by any network equipment. It increases the chances that the identity of user is misrepresented and then led to many security problems. Therefore, the actual needs of security can't be fully satisfied with controlling the malicious user access to the cloud resource by login authentication that relies solely on current user identity. User is the requester and provider of cloud resources. User behavior's credibility relates to the safety of cloud directly. So it's very important to evaluate whether user behaviors can be trusted or not on cloud. In this paper, the method is studied based on the multilevel fuzzy comprehensive evaluation. And in this evaluation study, indicators of user behavior credibility are carried on a thorough discussion.