基于行为的入侵检测系统最新发展综述

A. M. V. Bharathy, N. Umapathi, S. Prabaharan
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引用次数: 4

摘要

入侵检测系统被描述为一种对数据进行监控,对网络活动和数据可能存在的漏洞进行预先研究和攻击的系统。目前入侵检测技术的主要局限性之一是需要去除假警报,使用户能够与数据混淆。本文讨论了不同类型的入侵检测系统的行为、响应时间等重要因素。本文还从检出率、准确率、平均运行时间和虚警率等方面阐述了六种最新入侵检测技术的优缺点,并对入侵检测领域的最新进展进行了较为清晰的描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Elaborate Comprehensive Survey on Recent Developments in Behaviour Based Intrusion Detection Systems
Intrusion detection system is described as a data monitoring, network activity study and data on possible vulnerabilities and attacks in advance. One of the main limitations of the present intrusion detection technology is the need to take out fake alarms so that the user can confound with the data. This paper deals with the different types of IDS their behaviour, response time and other important factors. This paper also demonstrates and brings out the advantages and disadvantages of six latest intrusion detection techniques and gives a clear picture of the recent advancements available in the field of IDS based on the factors detection rate, accuracy, average running time and false alarm rate.
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