Description

Nowadays security and privacy issues take a major role in multi-agent system. Mostly multi-agent systems are open and dynamic in nature. This nature surely introduces a problem by providing secured communication. Security and privacy issues have become critically important with the fast expansion of multi-agent systems. Most network applications such as pervasive computing, grid computing and P2P networks can be viewed as multi-agent systems which are open, anonymous and dynamic in nature. Such characteristics of multi-agent systems introduce vulnerabilities and threats to providing secured communication. One feasible way to minimize the threats is to evaluate the trust and reputation of the interacting agents. Many trust/reputation models have done so, but they fail to properly evaluate trust when malicious agents start to behave in an unpredictable way. Moreover, these models are ineffective in providing quick response to a malicious agent’s oscillating behavior. Another aspect of multi-agent systems which is becoming critical for sustaining good service quality, is the even distribution of workload among service providing agents. Most trust/reputation models have not yet addressed this issue. Existing approaches integrate context in to trust computation. Their application is limited specific domains. In this paper the system proposed an integrity belief model. The proposed method compared with other trust model. Compared with other trust model, the proposed system achieve higher performance. The proposed system distinguishes trusting belief in integrity form that in competence.