Booter websites characterization: Towards a list of threats

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    Abstract

    Distributed Denial of Service (DDoS) attacks mean millions in revenue losses to many industries, such e-commerce and online financial services. The amount of reported DDoS attacks has increased with 47% compared to 2013. One of the reasons for this increase is the availability and ease of accessibility to websites, which provide DDoS attacks as a paid service, called Booters. Although there are hundreds of Booters available, current researches are focused on a handful sample of them - either to analyse attack traffic or hacked databases. Towards a thorough understanding and mitigation of Booters, a comprehensive list of them is needed. In this paper we characterize Booter websites and demonstrate that the found main characteristics can be used to classify Booters with 85% of accuracy. The Dutch National Research and Education Network (SURFnet) has been using a list generated by our methodology since 2013, what demonstrates high relevance to the network management community and the security specialists.
    Original languageUndefined
    Title of host publicationProceedings of 33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015
    Place of PublicationBrazil
    PublisherBrazilian Computer Society (SBC)
    Pages445-458
    Number of pages14
    ISBN (Print)2177-496X
    Publication statusPublished - May 2015
    Event33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015 - Vitoria, Brazil
    Duration: 18 May 201522 May 2015
    Conference number: 33

    Publication series

    Name
    PublisherBrazilian Computer Society (SBC)
    ISSN (Print)2177-496X

    Conference

    Conference33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015
    Abbreviated titleSBRC
    CountryBrazil
    CityVitoria
    Period18/05/1522/05/15
    Other(Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos)

    Keywords

    • EWI-26162
    • METIS-312680
    • IR-96841

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