Intrusion Detection in Agent-Based Virtual Knowledge Communities

Gabriel Opeyemi Ogunleye, ADEWALE OPEOLUWA OGUNDE

Abstract


Virtual Knowledge Communities (VKC) are current popular media on the internet through which the access and sharing of knowledge and information among communities of similar interest groups are made possible. Agent’s technologies are presently being deployed to facilitate the success of VKC, which is a virtual place where knowledge agents can meet, communicate and interact among themselves. Recently, quite a number of works have been done on agent-based knowledge communities but most of these works have not actually considered the possibilities of intrusion and the consequences of these malicious attacks on those systems. This paper therefore addresses the issue of intrusion detection problems in the sharing of knowledge in virtual knowledge communities. Intelligent agents are proposed as measures to guide against any spy or intruder into the VKC. The method proposed shows potential evidences of promising results.


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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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