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Study of an Adaptive Immune Detection Algorithm for Anomaly Detection

机译:一种用于异常检测的自适应免疫检测算法的研究

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摘要

On the basis of research for anomaly detection in the biological immune principles,a gene immune detection algorithm is provided.It combines innate immune and adaptive immune mechanism of the biological immune system.An adaptive approach that changes the thresholds of match in real time is suggested.This paper discussed some problems of anomaly detection in computer immune system.Shown by simulation experiments,the algorithm improves self-immunity and variety of antibodies.And it has such advantages as,high detecting efficiency,less computing time and adaptive character.
机译:在研究生物免疫原理异常检测的基础上,提出了一种基因免疫检测算法。该算法结合了生物免疫系统的先天免疫和自适应免疫机制,提出了一种实时改变匹配阈值的自适应方法。本文讨论了计算机免疫系统中异常检测的一些问题。通过仿真实验表明,该算法提高了自身免疫性和抗体种类,具有检测效率高,计算时间短,适应性强等优点。

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