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  • 标题:A Study of Various Intrusion Detection Model Based on Data Fusion, Neural Network and D-S Theory
  • 本地全文:下载
  • 作者:Ramnaresh Sharma ; Manish Shrivastava
  • 期刊名称:International Journal of Advanced Computer Research
  • 印刷版ISSN:2249-7277
  • 电子版ISSN:2277-7970
  • 出版年度:2011
  • 卷号:2011
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:Network security and awareness of network attack are hot pots in current research area. Now in days various model and method are available for intrusion detection and awareness of cyber-attack. Such as Application of the integrated Network Security Situation Awareness system (Net-SSA) shows that the proposed framework supports for the accurate modeling and effective generation of network security situation. In this paper we have discuss various approach for intrusion detection technique such as data fusion, neural network and D-S Theory and fuzzy logic
  • 关键词:Intrusion Detection; Data Fusion; neural Network
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