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    Detecting SYN flood attacks via statistical monitoring charts: A comparative study

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    Detecting SYN flood attacks via statistical monitoring charts A comparative study.pdf
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    Type
    Conference Paper
    Authors
    Bouyeddou, Benamar
    Harrou, Fouzi cc
    Sun, Ying cc
    Kadri, Benamar
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    KAUST Grant Number
    OSR-2015-CRG4-2582
    Date
    2017-12-14
    Online Publication Date
    2017-12-14
    Print Publication Date
    2017-10
    Permanent link to this record
    http://hdl.handle.net/10754/626839
    
    Metadata
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    Abstract
    Accurate detection of cyber-attacks plays a central role in safeguarding computer networks and information systems. This paper addresses the problem of detecting SYN flood attacks, which are the most popular Denial of Service (DoS) attacks. Here, we compare the detection capacity of three commonly monitoring charts namely, a Shewhart chart, a Cumulative Sum (CUSUM) control chart and exponentially weighted moving average (EWMA) chart, in detecting SYN flood attacks. The comparison study is conducted using the publicly available benchmark datasets: the 1999 DARPA Intrusion Detection Evaluation Datasets.
    Citation
    Bouyeddou B, Harrou F, Sun Y, Kadri B (2017) Detecting SYN flood attacks via statistical monitoring charts: A comparative study. 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). Available: http://dx.doi.org/10.1109/ICEE-B.2017.8192118.
    Sponsors
    The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582. The authors (Benamar Bouyeddou and Benamar Kadri) would like to thank the STIC Lab, Department of Telecommunications, Abou Bekr Belkaid University for the continued support during the research.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
    DOI
    10.1109/ICEE-B.2017.8192118
    Additional Links
    http://ieeexplore.ieee.org/document/8192118/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICEE-B.2017.8192118
    Scopus Count
    Collections
    Conference Papers; Applied Mathematics and Computational Science Program; Statistics Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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