A review on taxonomy of botnet detection

P. Panimalar, K. Rameshkumar
{"title":"A review on taxonomy of botnet detection","authors":"P. Panimalar, K. Rameshkumar","doi":"10.1109/ICAET.2014.7105225","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":120881,"journal":{"name":"2014 International Conference on Advances in Engineering and Technology (ICAET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advances in Engineering and Technology (ICAET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAET.2014.7105225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

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.
僵尸网络检测的分类研究进展
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信