BotCatch: leveraging signature and behavior for bot detection
Author:
Affiliation:
1. College of Computer Science and Technology; Jilin University; Changchun China
2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education; Jilin University; Changchun China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Computer Networks and Communications,Information Systems
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/sec.1052/fullpdf
Reference40 articles.
1. Revealing the criterion on Botnet detection technique;Abdullah;IJCSI International Journal of Computer Science Issues,2013
2. Survey and taxonomy of botnet research through life-cycle;Rodríguez-Gómez;ACM Computing Surveys (CSUR),2013
3. Botnets: a survey;Silva;Computer Networks,2012
4. Goebel J Rishi TH Identify bot contaminated hosts by IRC nickname evaluation Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets 2007 8 8
5. Park Y Reeves DS Identification of bot commands by run-time execution monitoring Computer Security Applications Conference, 2009. ACSAC’09. Annual 2009 321 330
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analyzing the Efficacy of Bot Detection Methods on Twitter/X;2023
2. Detection of Bots in Social Media: A Systematic Review;Information Processing & Management;2020-07
3. CustomPro: Network Protocol Customization Through Cross-Host Feature Analysis;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2019
4. Leveraging Image Representation of Network Traffic Data and Transfer Learning in Botnet Detection;Big Data and Cognitive Computing;2018-11-27
5. Effective Botnet Detection Through Neural Networks on Convolutional Features;2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE);2018-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3