基于复合免疫算法的入侵检测系统

发布时间：2017-12-28 09:14

本文关键词：基于复合免疫算法的入侵检测系统　出处：《计算机科学》2014年12期 　论文类型：期刊论文

【摘要】：计算机安全系统与生物免疫系统具有很多的相似性,它们都需要在不断变化的环境中维持自身的稳定性。提出复合免疫算法,并应用到入侵检测系统中,以保护网络安全。针对经典的人工免疫算法在性能上存在的缺陷进行了改进,完善了其核心算法——否定选择算法,在否定选择算法中加入了分段技术和关键位,避免了恒定的匹配概率导致的匹配漏洞,降低了系统漏检率。并将遗传算法中的克隆选择算法和改进的否定选择算法结合为复合免疫算法,提高了检测器生成的动态性和多样性。最后,通过数学理论分析与仿真实验模拟,验证了改进算法的有效性和可行性,并且与其它经典算法进行了比较,结果证明,改进算法可以提高系统性能。
[Abstract]:The computer security system has a lot of similarities with the biological immune system, and they all need to maintain their stability in the changing environment. A compound immune algorithm is proposed and applied to the intrusion detection system to protect the network security. Aiming at the defects of artificial immune algorithm in performance was improved, and improve its core algorithm, negative selection algorithm in negative selection algorithm with segmentation technology and key position, to avoid the matching probability constant lead, loopholes, reduce the missing rate. The clonal selection algorithm and the improved negative selection algorithm in genetic algorithm are combined into the composite immune algorithm, which improves the dynamicity and diversity of detector generation. Finally, through mathematical theory analysis and simulation experiment simulation, the effectiveness and feasibility of the improved algorithm is verified, and compared with other classic algorithms, the result proves that the improved algorithm can improve the system performance.
【作者单位】：华东理工大学信息科学与工程学院;
【基金】：国家自然科学基金(60905043,61073107,61173048) 上海市教育委员会科研创新项目中央高校基本科研业务费资助
【分类号】：TP393.08
【正文快照】： 1引言生物免疫系统通过抵御各种异己细胞来保护人体免受外界侵害,相似地,计算机通过入侵检测系统来监测和抵御不安全信息[1]。所以,生物免疫系统抗体抵御抗原的机制被应用于计算机网络安全中,进行错误诊断、病毒检测、入侵检测等[2,3],可以改善检测系统的响应时间和检测效率与

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