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  • 标题:Artificial Intelligence Technique Applied to Intrusion Detection
  • 本地全文:下载
  • 作者:K.P.Kaliyamurthie ; R.M. Suresh
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2012
  • 卷号:12
  • 期号:3
  • 页码:87-92
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Communication network is facilitated with different protocol .Each protocol supported to increase the network performance in a secured manner. In communication process, user��s connectivity, violations of policy on access of information are handles through intrusion. Intrusion prevention is the process of performing intrusion detection and attempting to stop detected possible incidents. It focused on identifying possible incidents, logging information about them, attempting to stop them, and reporting them to security administrators. However, organizations use Intrusion detection and prevention system (IDPS) for other purposes, such as identifying problems with security policies, documenting existing threats, and determining individuals from violating security policies. Communication architecture is built up on IP.Internet Control Message Protocol (ICMP ) protocol is tightly integrated with IP. ICMP messages, delivered in IP packets, are used for out-of-band messages related to network operation or mis-operation.In this paper describes about HDLC , ICMP protocol sequences which is used to detect the intrusion on hybrid network and its attributes are recommend the standardized protocol for the intrusion detection process. This standardization protocol compare the previous part of the research of HDLC and ICMP protocols.
  • 关键词:High Level Data Link Control(HDLC);Internet Control Message Protocol(ICMP); Network Instruction Detection
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