Intrusion Detection in Agent-Based Virtual Knowledge Communities | Zendy

Gabriel Opeyemi Ogunleye | Zendy; Adewale Opeoluwa Ogunde | Zendy

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Intrusion Detection in Agent-Based Virtual Knowledge Communities

Author(s) -

Gabriel Opeyemi Ogunleye,

Adewale Opeoluwa Ogunde

Publication year - 2010

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v3n3p203

Subject(s) - computer science , intrusion , intrusion detection system , knowledge sharing , the internet , computer security , world wide web , data science , knowledge management , geochemistry , geology

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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