基于免疫的网络入侵察觉系统设计与实现

发布时间：2018-06-22 05:49

本文选题：网络安全 + 入侵察觉　；参考：《郑州大学》2014年硕士论文

【摘要】：受生物免疫系统具有免疫识别、免疫记忆等优良特性启发，在分析、理解传统入侵检测技术原理的基础上，模拟生物免疫系统中抗体识别抗原的机理，，设计并实现一种新的基于免疫的网络入侵察觉系统。论文在概述课题的研究背景、研究意义和国内外研究现状之后，简述了网络威胁、网络入侵、入侵检测等基本概念以及入侵检测的基本原理和实现算法，给出了该系统的功能需求、性能需求和运行环境需求，阐述了基于免疫的网络入侵察觉系统的总体设计思想，给出了用于检测网络攻击的抗原、抗体等术语的定义及其形式化，重点论述了系统详细设计过程中的抗体库加载、检测匹配算法、检测引擎初始化及检测算法。在Windows XP环境下用VC实现了该系统。测试结果表明该系统能够正常运行，为检测网络攻击提供了一种新途径。
[Abstract]:Inspired by the excellent characteristics of biological immune system, such as immune recognition, immune memory, and on the basis of analyzing and understanding the principle of traditional intrusion detection technology, the mechanism of antibody recognition in biological immune system is simulated. A new immune-based network intrusion detection system is designed and implemented. After summarizing the research background, research significance and research status at home and abroad, the basic concepts of network threat, network intrusion, intrusion detection, and the basic principles and implementation algorithms of intrusion detection are briefly described in this paper. The functional requirements, performance requirements and operational environment requirements of the system are given. The general design idea of the network intrusion detection system based on immunity is expounded, and the definition and formalization of the terms such as antigens and antibodies used to detect network attacks are given. The antibody library loading, detection matching algorithm, detection engine initialization and detection algorithm are discussed in detail. The system is implemented with VC in Windows XP environment. The test results show that the system can work normally and provide a new way to detect network attacks.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.08

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