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Inside risks
Reflections on Conficker

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Phillip PorrasAuthors Info & Claims

Communications of the ACM, Volume 52, Issue 10

Pages 23 - 24

https://doi.org/10.1145/1562764.1562777

Published: 01 October 2009 Publication History

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Abstract

An insider's view of the analysis and implications of the Conficker conundrum.

References

[1]

Conficker Working Group Web site (June 2009); http://www.confickerworkinggroup.org

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[2]

Giles, J. The inside story of the Conficker worm. New Scientist Journal (June 12, 2009); http://www.newscientist.com/article/mg20227121.500-the-inside-story-of-the-conficker-worm.html?full=true

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[3]

Krebs, B. Massive profits fueling rogue antivirus market. The Washington Post (Mar. 16, 2009); http://voices.washingtonpost.com/securityfix/2009/03/obscene_profits_fuel_rogue_ant.html

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[4]

Lemos, R. Cabal forms to fight Conficker, offers bounty. Security Focus (Feb. 13, 2009); http://www.securityfocus.com/news/11546

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[5]

Markoff, J. The Conficker worm: April Fool's joke or unthinkable disaster? Bits: The New York Times (Mar. 19, 2009); http://bits.blogs.nytimes.com/2009/03/19/the-conficker-worm-april-fools-joke-or-unthinkable-disaster/

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[6]

Porras, P.A., Saidi, H., and Yegneswaran, V. Conficker C analysis. SRI International Technical Report (Apr. 4, 2009); http://mtc.sri.com/Conficker/addendumC/#SecurityProductDisablement

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[7]

Williams, C. Conficker seizes city's hospital network. The Register (U.K.) (Jan. 20,2009); http://www.theregister.co.uk/2009/01/20/sheffield_conficker/

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Cited By

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Yin ZXu YZhou CJiang Y(2022)Empirical Study of System Resources Abused by IoT AttackersProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3556901(1-13)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3551349.3556901
Manasrah AKhdour TFreehat R(2022)DGA-based botnets detection using DNS traffic miningJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.00134:5(2045-2061)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2022.03.001
Highnam KPuzio DLuo SJennings N(2021)Real-Time Detection of Dictionary DGA Network Traffic Using Deep LearningSN Computer Science10.1007/s42979-021-00507-w2:2Online publication date: 22-Feb-2021
https://doi.org/10.1007/s42979-021-00507-w
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Index Terms

Inside risks

Reflections on Conficker
1. Security and privacy
  1. Systems security
    1. Operating systems security
2. Social and professional topics
  1. Computing / technology policy
    1. Computer crime

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Conficker and beyond: a large-scale empirical study
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Conficker [26] is the most recent widespread, well-known worm/bot. According to several reports [16, 28], it has infected about 7 million to 15 million hosts and the victims are still increasing even now. In this paper, we analyze Conficker infections ...
A Large-Scale Empirical Study of Conficker

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Information

Published In

Communications of the ACM Volume 52, Issue 10

A View of Parallel Computing

October 2009

134 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1562764

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2009

Published in CACM Volume 52, Issue 10

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Yin ZXu YZhou CJiang Y(2022)Empirical Study of System Resources Abused by IoT AttackersProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3556901(1-13)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3551349.3556901
Manasrah AKhdour TFreehat R(2022)DGA-based botnets detection using DNS traffic miningJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.00134:5(2045-2061)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.jksuci.2022.03.001
Highnam KPuzio DLuo SJennings N(2021)Real-Time Detection of Dictionary DGA Network Traffic Using Deep LearningSN Computer Science10.1007/s42979-021-00507-w2:2Online publication date: 22-Feb-2021
https://doi.org/10.1007/s42979-021-00507-w
Zheng JNamin A(2019)A Survey on the Moving Target Defense Strategies: An Architectural PerspectiveJournal of Computer Science and Technology10.1007/s11390-019-1906-z34:1(207-233)Online publication date: 18-Jan-2019
https://doi.org/10.1007/s11390-019-1906-z
(2017)DBodComputers and Security10.1016/j.cose.2016.10.00164:C(1-15)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.cose.2016.10.001
Wang TLin CLin H(2016)DGA Botnet Detection Utilizing Social Network Analysis2016 International Symposium on Computer, Consumer and Control (IS3C)10.1109/IS3C.2016.93(333-336)Online publication date: Jul-2016
https://doi.org/10.1109/IS3C.2016.93
Bocchi EGrimaudo LMellia MBaralis ESaha SMiskovic SModelo-Howard GLee S(2016)MAGMA network behavior classifier for malware trafficComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.03.021109:P2(142-156)Online publication date: 9-Nov-2016
https://dl.acm.org/doi/10.1016/j.comnet.2016.03.021
Finamore ASaha SModelo-Howard GLee SBocchi EGrimaudo LMellia MBaralis E(2015)Macroscopic view of malware in home networks2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)10.1109/CCNC.2015.7157987(262-266)Online publication date: Jan-2015
https://doi.org/10.1109/CCNC.2015.7157987
Subrahmanian VOvelgönne MDumitras TPrakash BSubrahmanian VOvelgonne MDumitras TPrakash A(2015)Types of Malware and Malware Distribution StrategiesThe Global Cyber-Vulnerability Report10.1007/978-3-319-25760-0_2(33-46)Online publication date: 10-Dec-2015
https://doi.org/10.1007/978-3-319-25760-0_2
Antonakakis MPerdisci RNadji YVasiloglou NAbu-Nimeh SLee WDagon DKohno T(2012)From throw-away traffic to botsProceedings of the 21st USENIX conference on Security symposium10.5555/2362793.2362817(24-24)Online publication date: 8-Aug-2012
https://dl.acm.org/doi/10.5555/2362793.2362817
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Abstract

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Recommendations

Conficker and beyond: a large-scale empirical study

A Large-Scale Empirical Study of Conficker

On the Trail of the Conficker Worm

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