Framework for Monitoring the User’s Behavior and Computing the User’s Trust

Traditional access control, simple methods for virus detection, and intrusion detection are unable to manage variety of malicious and network attacks. The number of users might get hacked because of limitation in basic security protection. To implement a secure, reliable, and safe cloud-computing environment, we need to consider the trust issue. A trusted cloud is guaranteed to be safe from user terminals; combined with the concept of a trusted network, it evaluates, forecasts, monitors, and manages the user’s behavior to eliminate malicious datacenter attacks which are performed by unwanted cloud users and hackers; as a result, there is improved cloud security. In this chapter, we propose a Framework for Monitoring the User’s Behavior and Computing the User’s trust (FMUBCT). This model detects abnormal user behavior by creating user-behavior history patterns and compares them with current user behavior. The outcome of the comparison is sent to a trust computation center to calculate a user trust value. FMUBCT is flexible and scalable as it considers more evidence to monitor and evaluate user behavior. Finally, the simulation of FMUBCT shows that the model can effectively evaluate the users.