一种基于多层次识别的免疫算法及其改进  

A Kind of Immune Algorithm Based on Multilevel Detection and its Improvement

作　　者：张峰[1] 朱艳琴[1] 

机构地区：[1]苏州大学计算机科学与技术学院,江苏苏州215006

出　　处：《信息安全与通信保密》2007年第5期112-114,共3页Information Security and Communications Privacy

基　　金：江苏省自然科学基金项目:基于PKI;ECC的高强度VPN安全网关技术与核心系统的研究(项目编号:BK2004039)

摘　　要：具有自适应功能的算法是实现智能化信息安全系统的关键。免疫算法是模拟生物免疫系统功能的一种智能学习算法。论文介绍了一种全新的免疫学习算法。该算法特有的多层识别机制可以更加准确有效地识别外部入侵。针对该算法识别器生成周期长的缺陷,文章又提出了一种基于遗传算法的识别器生成方案。An algorithm with self-adaption function is a key aspect to build an intelligent information security system. Immune algorithm is a kind of intelligent learning algorithm which simulates the biology immunity systems. This paper introduced a new immune learning algorithm, A benefit of this algorithm＇s own is multilevel detection, which can recognize out side inject accurately and effectively, To resolve one problem of this algorithm which is generating detectors in last phase, this paper present a scheme base on genetic algorithms.

关 键 词：免疫算法 多层识别 遗传算法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]