僵尸网络检测的分类研究进展

P. Panimalar, K. Rameshkumar
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引用次数: 6

摘要

恶意软件(malware)在现代高科技生活中占有重要地位。有一些恶意软件,如病毒,蠕虫,特洛伊木马,根工具包形式经常攻击网络,特别是在互联网上窃取信息。除了这些威胁外,僵尸网络也是一种广泛而严重的威胁,在当今的网络攻击中屡见不鲜。僵尸网络检测是近年来的一个重要研究课题。本文阐述了关于僵尸网络的现象、僵尸网络的一些检测方法,并概述了一种可扩展的基于模糊模式识别的过滤算法用于僵尸网络检测。
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A review on taxonomy of botnet detection
Malicious software, `malware`, has acquired an important position in modern high-tech life. There are several malware like virus, worms, trojan horses, root kit forms regularly attacking the networks particularly on internet to steal the information. Apart from these threats botnet is one of the widespread and serious threats, which occurs commonly in today's cyber attacks. The botnet detection has been a major research topic in recent years. This paper clarifies about botnet phenomenon, some of the botnet detection and overview of an extensible fuzzy pattern recognition-based filtering algorithm for botnet detection.
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