【作者】 徐健；

【导师】 禹农；

【作者基本信息】 山东科技大学 ， 计算机应用技术， 2004， 硕士

【摘要】 入侵检测系统是指能够自动识别计算机系统内的入侵行为的系统，它可以检测出内部用户或外部入侵者的非授权使用、误用和恶意攻击等异常行为模式，保护计算机系统的安全。本文在充分研究了人体免疫系统的工作机理的基础上，对于现有的人工免疫模型进行了改进，在检测器设计、协同刺激、记忆字符串的变异进化等方面做了修改，使得该模型更易于实现。并根据改进后的模型设计了一个基于网络的入侵检测系统，该系统以网络数据包为检测数据来源，具有能检测未知入侵行为、分布式部署等优点。更多还原

【Abstract】 Intrusion detection system (IDS) is an automated system for the detection of intrusions in computer system. The main goal of IDS is to detect unauthorized use, misuse and abuse of computer systems by both system insiders and external intruders. After studying the working mechanism of human immune system completely this paper makes some improvement on existing artificial immune model. The modification include design of detector, costimulation , mutation and evolution of memory strings ,making the artificial immune model easier to realize. This paper also devises a network-based intrusion detection system (IDS) according the improved model. The IDS takes network packets as detecting data resource and has advantages such as detecting unknown intrusion , distributed disposition.更多还原