A new immunity-based model for network intrusion detection

Ruifan Li, Cong Wang, Xuyan Tu
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Abstract

Natural immune system has many features for inspirations to computer security. From this paradigm, a new multi-agent model for network-based intrusion detection system is presented. We briefly summarize the main mechanisms of immunology from information processing perspective and concisely review the related works. Moreover, some mechanisms, including cloning with hyper-mutation, affinity maturation, and stigmergy are incorporated to this new model for network intrusion detection. Its conceptual view and working mechanism are described, and its characteristics, autonomous, robust, adaptable, and lightweight, are discussed.
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基于免疫的网络入侵检测新模型
自然免疫系统有许多特点,为计算机安全提供了灵感。在此基础上,提出了一种新的基于网络的入侵检测系统多智能体模型。本文从信息加工的角度简要总结了免疫学的主要机制,并对相关工作进行了简要回顾。此外,还将超突变克隆、亲和成熟和污名化等机制纳入了网络入侵检测新模型。阐述了其概念和工作机理,讨论了其自主、鲁棒、适应性强、轻量化等特点。
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