Simulation Modeling of Network Intrusion Detection Based on Artificial Immune System

摘要：

There is much comparability between natural immune system and computer security, and the key point is how to distinguish self from other. Based on the principles and structures of artificial immune system, the simulation modeling of network intrusion detection was developed. The model consisted of many nodes that distributed across different locations. The nodes needed not be centralized controlled. The purpose of model was to distinguish between illegitimate behavior (non-self) and legitimate behavior (self). In case of finding abnormity, model could give an alarm to user.

关键词： artificial immune system instruction detection computer security detector

作者: Yu Jing Wang Feng

作者单位: PLA Artillery Academy, Hefei, 230031, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 194-199

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）