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Combining multiresolution and random projections for robust statistical analysis and anomaly detection

Published: 18 November 2009 Publication History

Abstract

Goals. Internet traffic statistical monitoring received a considerable amount of efforts, resulting in a plethora of publications and tools that can however hardly be objectively compared, as prerequisites, goals, costs and performances are often non systematically or barely reported. In this context, the present note aims at providing the readers with an overview of the reasons for and the benefits stemming from the combined used of multiresolution analysis and random projections (sketches) in Internet traffic statistical monitoring as well as at reviewing key issues involved in elaborating any scientific benchmarking framework. Let us first consider the analysis of IP Pkt or byte aggregated time series.

References

[1]
A. Scherrer et al. Non gaussian and long memory statistical characterisations for internet traffic with anomalies. IEEE Trans. Dep. and Sec. Comp. 4, 1, 56--70, 2007.
[2]
P. Abry. et al. Sketch based anomaly detection, identification and performance evaluation. IEEE/IPSJ SAINT Measurement Workshop, 2007.
[3]
G. Dewaele. et al. Extracting hidden anomalies using sketch and non gaussian multiresolution statistical detection procedures. SIGCOMM-LSAD, 2007.
[4]
P. Borgnat et al. Seven years and one day: Sketching the evolution of internet traffic. IEEE INFOCOM, 2009.

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  1. Combining multiresolution and random projections for robust statistical analysis and anomaly detection

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    AINTEC '09: Proceedings of the 4th Asian Internet Engineering Conference
    November 2009
    99 pages
    ISBN:9781605586144
    DOI:10.1145/1711113
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • ThaiREN
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 November 2009

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    AINTEC '09
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    AINTEC '09: Asian Internet Engineering Conference
    November 18 - 20, 2009
    Bangkok, Thailand

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    Overall Acceptance Rate 15 of 38 submissions, 39%

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