MULTIAGENT SYSTEM BASED ON GENETIC ACCESS MATRIX ANALYSIS

How should an individual contribute to the public good? Conversely, how does the public help the individual? We should analyze and alleviate conflicts in community clouds. Covert channels in the access matrix are caused by conflicts between public values and a private sense of values. We cannot control the information leaks from the covert channels by using only access control. We believe that the community cloud system should emphasize harmony between public values and a private sense of values. We interpret the access matrix as follows: The acts of the individual are generalized and symbolized by an access matrix that describes the access operations of the subject. We propose a multiagent system embodying the concept of swarm intelligence to analyze the covert channels that arise. Each agent has a group target and an individual target. The group target and an individual target include targets for generation of access and restriction of access. The system does not have any principle of universal control. Instead, an agent’s interactions are guided by metaheuristics for achieving targets. The social order of the whole society is made from the agents’ interactions related to the group value target, group game target, an individual value target, and an individual game target. The conceptual framework and multiagent system presented here are intended to support people. If the covert channel problem can be solved, it will become possible for people to use community clouds safely.