Trust analysis of execution platform for self protected mobile code

Malicious host problem is still a challenging phenomenon in agent computing environment. In mobile agent computing, agent platform has full control over mobile agent to execute it. A host can analyze the code during stay of mobile agent on that host. A host can modify the mobile code for his benefits. A host can analyze and modify the data which is previously collected during agent itinerary. Hence to save the code from malicious host we need to identify it. Therefore we calculate the risk associated with that code executing on a mobile host using fuzzy logic. When a host performs an attack over the mobile agent it will take more execution time thus some risk is associated with it. If the calculated risk is greater than a user specified maximum value then the agent code is discarded and the host is identified to be malicious. In this paper, we proposed a fuzzy based risk evaluation model integrated with proposed self-protected security protocol to secure mobile code from insecure execution.