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    An Effective Network Intrusion Detection Using Hellinger Distance-Based Monitoring Mechanism

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    ICASS-302.pdf
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    Type
    Conference Paper
    Authors
    Bouyeddou, Benamar
    Harrou, Fouzi cc
    Sun, Ying cc
    Kadri, Benamar
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    KAUST Grant Number
    OSR-2015-CRG4-2582
    Date
    2019-03-18
    Online Publication Date
    2019-03-18
    Print Publication Date
    2018-11
    Permanent link to this record
    http://hdl.handle.net/10754/631834
    
    Metadata
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    Abstract
    This paper proposes an intrusion detection scheme for Denial Of Service (DOS) and Distributed DOS (DDOS) attacks detection. We used Hellinger distance (HD), which is an effective measure to quantify the similarity between two distributions, to detect the presence of potential malicious attackers. Specifically, we applied HD-based anomaly detection mechanism to detect SYN and ICMPv6-based DOS/DDOS attacks. Here, Shewhart chart is applied to HD to set up a detection threshold. The proposed mechanism is evaluated using DARPA99 and ICMPv6 traffic datasets. Results indicate that our mechanism accomplished reliable detection of DOS/DDOS flooding attacks.
    Citation
    Bouyeddou B, Harrou F, Sun Y, Kadri B (2018) An Effective Network Intrusion Detection Using Hellinger Distance-Based Monitoring Mechanism. 2018 International Conference on Applied Smart Systems (ICASS). Available: http://dx.doi.org/10.1109/ICASS.2018.8652008.
    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
    2018 International Conference on Applied Smart Systems (ICASS)
    Conference/Event name
    2018 International Conference on Applied Smart Systems, ICASS 2018
    DOI
    10.1109/ICASS.2018.8652008
    Additional Links
    https://ieeexplore.ieee.org/document/8652008
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICASS.2018.8652008
    Scopus Count
    Collections
    Conference Papers; Statistics Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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