感知入侵检测系统

A. Inoue
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引用次数: 1

摘要

提出了一种基于人类专家感知的简单入侵检测系统。其计算框架是基于感知计算理论(CTP)和质量分配理论(MAT)的概念设计的。CTP提供了一个使用语言术语和相应的模糊集表示和处理感知的计算框架。MAT提供了通过模糊集和概率分布之间的一致性管理来表示和处理感知和观察入侵之间的偏差的方法。对于该IDS的知识构建,只需要从组织策略中提取语言描述和人类专家的感知。对于知识的推理和细化,使用支持逻辑,即用于操纵概率区间的真值泛函逻辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptual intrusion detection system
A simple intrusion detection system (IDS) with respect to perception of human experts is proposed. Its computational framework is designed based on concepts of computational theory of perceptions (CTP) and mass assignment theory (MAT). CTP provides a computational framework of representing and handling perception using linguistic terms and corresponding fuzzy sets. MAT provides that of representing and handling a bias consisting in between perception and observed intrusions through the consistency management between fuzzy sets and probability distributions. For the knowledge construction of this IDS, only linguistic descriptions extracted from organization policies and perception of human experts is expected. For the inference and refinement of knowledge, support logic, a truth functional logic for manipulating probability intervals, is used.
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