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POSTER: BotFlex: a community-driven tool for botnetdetection

Published: 04 November 2013 Publication History
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References

[1]
M. Abu Rajab, J. Zarfoss, F. Monrose, and A. Terzis. A multifaceted approach to understanding the botnet phenomenon. In Proceedings of the 6th ACM SIGCOMM conference on Internet measurement, IMC'06, pages 41--52, New York, NY, USA, 2006. ACM.
[2]
BotFlex. http://sysnet.org.pk/BotFlex. Online. Feb,2013.
[3]
G. Gu, P. Porras, V. Yegneswaran, M. Fong, and W. Lee. Bothunter: Detecting malware infection through ids-driven dialog correlation. In Usenix Security Symposium, 2007.
[4]
D. C. Luckham. The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 2001.
[5]
V. Paxson. Bro: a system for detecting network intruders in real-time. In Proceedings of the 7th conference on USENIX Security Symposium - Volume 7, SSYM'98, pages 3--3, Berkeley, CA, USA, 1998. USENIX Association.

Cited By

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  • (2016)The Early Bird Gets the Botnet: A Markov Chain Based Early Warning System for Botnet Attacks2016 IEEE 41st Conference on Local Computer Networks (LCN)10.1109/LCN.2016.17(61-68)Online publication date: Nov-2016
  • (2016)Diagnosing bot infections using Bayesian inferenceJournal of Computer Virology and Hacking Techniques10.1007/s11416-016-0286-y14:1(21-38)Online publication date: 30-Sep-2016
  • (2015)SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level2015 IEEE International Conference on Communications (ICC)10.1109/ICC.2015.7249162(5278-5283)Online publication date: Jun-2015
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  1. POSTER: BotFlex: a community-driven tool for botnetdetection

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    Published In

    cover image ACM Conferences
    CCS '13: Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
    November 2013
    1530 pages
    ISBN:9781450324779
    DOI:10.1145/2508859
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 04 November 2013

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    Author Tags

    1. botnet
    2. correlation
    3. network security

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    Acceptance Rates

    CCS '13 Paper Acceptance Rate 105 of 530 submissions, 20%;
    Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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    Cited By

    View all
    • (2016)The Early Bird Gets the Botnet: A Markov Chain Based Early Warning System for Botnet Attacks2016 IEEE 41st Conference on Local Computer Networks (LCN)10.1109/LCN.2016.17(61-68)Online publication date: Nov-2016
    • (2016)Diagnosing bot infections using Bayesian inferenceJournal of Computer Virology and Hacking Techniques10.1007/s11416-016-0286-y14:1(21-38)Online publication date: 30-Sep-2016
    • (2015)SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level2015 IEEE International Conference on Communications (ICC)10.1109/ICC.2015.7249162(5278-5283)Online publication date: Jun-2015
    • (2015)BotFlexJournal of Network and Computer Applications10.1016/j.jnca.2015.10.00258:C(144-154)Online publication date: 1-Dec-2015

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