摘要
提出了一种受免疫原理启发的网络入侵行为监测方法.受免疫机制的启发,抽取网络数据包的特征信息模拟抗原,采用检测器模拟免疫细胞,通过检测器的进化,识别网络入侵行为数据包,检测到网络入侵时,对未实施完成的网络入侵进行预警,并实时提取网络入侵行为信息作为证据进行安全保存,通过数学语言推导了网络入侵行为监测的全过程,为网络入侵行为监测提供了一种新途径.
A surveillance method for the network intrusion behavior inspired by immunology was proposed.Inspired by the immune mechanism,the antigen was simulated by the signature of a network packet and the immune cell was simulated by a detector.The packets of the network intrusion behavior were recognized by detectors which evolved.When the network intrusion was detected,an alarm information was formed and a real-time evidence of the network intrusion behavior was obtained and saved safely.The monitoring process of network intrusion behavior was deduced with a math language.The proposed method provided a new method for the surveillance of the network intrusion behavior.
出处
《宜宾学院学报》
2012年第12期64-67,共4页
Journal of Yibin University
基金
国家自然科学基金(61103249)
乐山师范学院科研项目(Z1113
Z1065)
人工智能四川省重点实验室开放基金(2011RYJ01)
关键词
人工免疫
网络入侵
监测
检测器
artificial immunity
network intrusion
surveillance
detector
