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  • 标题:Intrusion Detection in Agent-Based Virtual Knowledge Communities
  • 本地全文:下载
  • 作者:Gabriel Opeyemi Ogunleye ; ADEWALE OPEOLUWA OGUNDE
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2010
  • 卷号:3
  • 期号:3
  • 页码:203
  • DOI:10.5539/cis.v3n3P203
  • 出版社:Canadian Center of Science and Education
  • 摘要: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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