Fuzzy logic Approach Based on User behavior Trust in Cloud Security

With cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks on the cloud is increasing. Cloud platform security becomes an important factor in cloud development. Basic security protection such as traditional access control (TAC) is not able to satisfy the security requirements within the expansion of cloud computing. For example, TAC is not able to prevent a malicious user from accessing the cloud. Therefore, in this paper, we propose the fuzzy logic approach based on user behavior trust (FUBT). In this model we consider four types of evidence: login, security, operation, and performance to evaluate the cloud users. We start the model by building a user profile based on user' history behavior to compare it with current behavior. Moreover, we consider four types of trust: direct, history, indirect and comprehensive trust. We present a fuzzy approach to calculate direct and comprehensive trust values. FUBT is flexible and scalable as consider more evidence to monitor and evaluate user behavior. Finally, the simulation of FUBT shows that the model can effectively evaluate the users.