A Novel Anomaly Detection Algorithm

Kui Zhang
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引用次数: 1

Abstract

A novel anomaly detection algorithm is proposed and based on the danger model. The danger model is built on a sensitive tissue (ST) which consists of a population of sensitive cells (SCs) that are abstracted from computer system, and such cells are very sensitive to cellular damages. ST plays a role as an interface between problems and immune cells for danger recognition and estimation. This novel anomaly detection algorithm is different from the existing ones for the introduction to a novel component—sensitive tissue in the danger model.
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一种新的异常检测算法
提出了一种新的基于危险模型的异常检测算法。危险模型是建立在敏感组织(ST)上的,该敏感组织是由从计算机系统中提取的一群敏感细胞(SCs)组成的,这些细胞对细胞损伤非常敏感。ST在问题和免疫细胞之间起着识别和估计危险的接口作用。与现有的异常检测算法不同的是,该算法在危险模型中引入了一种新的成分敏感组织。
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