A Human Immunity Inspired Intrusion Detection System to Search for Infections in an Operating System

Patryk Widulinski, K. Wawryn
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引用次数: 3

Abstract

In the paper, an intrusion detection system to safeguard computer software is proposed. The detection is based on negative selection algorithm, inspired by the human immunity mechanism. It is composed of two stages, generation of receptors and anomaly detection. Experimental results of the proposed system are presented, analyzed, and concluded.
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基于人体免疫的入侵检测系统在操作系统中搜索感染
本文提出了一种保护计算机软件安全的入侵检测系统。该检测基于负选择算法,灵感来自人体免疫机制。它由受体的产生和异常检测两个阶段组成。给出了该系统的实验结果,并对其进行了分析和总结。
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