Lightweight traffic monitoring and analysis using video compression techniques

Marat Zhanikeev, Yoshiaki Tanaka

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Traffic analysis based only on IP address is a new research area where traffic anomalies can be detected by studying clusters of IP addresses extracted from traveling packets. Such analysis is normally spatial and needs IP addresses to be put in a multi-dimensional map. This paper proposes a novel method that converts such maps to 2-dimensional graphical form and applies video compression techniques to create MPEG-2 VBR movies where frames are individual snapshots of IP space in time. The paper proves that this combination is suitable for traffic monitoring and detection of DDOS attacks as well as large-scale traffic anomalies caused by social phenomena.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages92-101
    Number of pages10
    Volume5787 LNCS
    DOIs
    Publication statusPublished - 2009
    Event12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009 - Jeju
    Duration: 2009 Sep 232009 Sep 25

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5787 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009
    CityJeju
    Period09/9/2309/9/25

    Fingerprint

    Video Compression
    Image compression
    Traffic
    Monitoring
    Anomaly
    MPEG-2
    Traffic Analysis
    Snapshot
    Convert
    Attack

    Keywords

    • Anomaly detection
    • IP space
    • Traffic analysis
    • Traffic monitoring
    • Video compression

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Zhanikeev, M., & Tanaka, Y. (2009). Lightweight traffic monitoring and analysis using video compression techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5787 LNCS, pp. 92-101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5787 LNCS). https://doi.org/10.1007/978-3-642-04492-2_10

    Lightweight traffic monitoring and analysis using video compression techniques. / Zhanikeev, Marat; Tanaka, Yoshiaki.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5787 LNCS 2009. p. 92-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5787 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Zhanikeev, M & Tanaka, Y 2009, Lightweight traffic monitoring and analysis using video compression techniques. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5787 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5787 LNCS, pp. 92-101, 12th Asia-Pacific Network Operations and Management Symposium, APNOMS 2009, Jeju, 09/9/23. https://doi.org/10.1007/978-3-642-04492-2_10
    Zhanikeev M, Tanaka Y. Lightweight traffic monitoring and analysis using video compression techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5787 LNCS. 2009. p. 92-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04492-2_10
    Zhanikeev, Marat ; Tanaka, Yoshiaki. / Lightweight traffic monitoring and analysis using video compression techniques. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5787 LNCS 2009. pp. 92-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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