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    Detecting DDoS Attacks in Software De?ned Networks: An Experimental Study of Stream Sampling Methods

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    Harris_umbc_0434M_11650.pdf (367.8Kb)
    Permanent Link
    http://hdl.handle.net/11603/15504
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    • UMBC Theses and Dissertations
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    Author/Creator
    Unknown author
    Date
    2017-01-01
    Type of Work
    Text
    thesis
    Department
    Computer Science and Electrical Engineering
    Program
    Computer Science
    Rights
    This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu
    Distribution Rights granted to UMBC by the author.
    Subjects
    DDos
    SDN
    Abstract
    I propose and experimentally evaluate a new sampling method for a streaming algorithm to improve Distributed Denial of Service (DDoS) detection in Software De?ned Networks (SDNs). My method leverages the SDN architecture of OpenFlow and its novel capabilities to improve detection by analyzing traf?c by ?ow. This approach can lower the cost of gathering data for analysis and improve the detection rate. Using the Mininet emulation environment, I compare the new sampling methods using my adaption of the hierarchical heavy hitter algorithm in a SDN environment and analyze the differences to a possible implementation on a legacy network. My work shows that clear differences can be detected by using per ?ow sampling to detect hierarchical heavy hitters from traf?c that contains heavy ?ows.


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
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    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.