Botnet detection and prevention in anonymous networks

Katharina Kuhnert, Jessica Steinberger, Harald Baier

    Research output: Contribution to conferencePaper

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    Abstract

    Botnets are a major threat to the Internet landscape and have been responsible for large scale distributed attacks on online services. To make take down measures more difficult, Botnet operators started to incorporate anonymous networks into their software to protect their users and their Botnets. Although privacy and anonymity is an important goal of such services, cyber criminals also benefit from these properties, hiding their identity and location in the shadow of anonymity. This work investigates Botnets in anonymous networks and proposes mitigation strategies against such threat. This research is still in its initial state and is planned to result in a Ph.D. thesis.
    Original languageEnglish
    Number of pages5
    Publication statusPublished - Jul 2018
    Event12th International Conference on Autonomous Infrastructure, Management and Security 2018 - Munich, Germany
    Duration: 4 Jul 20187 Jul 2018
    Conference number: 12
    http://www.aims-conference.org/2018/

    Conference

    Conference12th International Conference on Autonomous Infrastructure, Management and Security 2018
    Abbreviated titleAIMS 2018
    CountryGermany
    CityMunich
    Period4/07/187/07/18
    Internet address

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  • Cite this

    Kuhnert, K., Steinberger, J., & Baier, H. (2018). Botnet detection and prevention in anonymous networks. Paper presented at 12th International Conference on Autonomous Infrastructure, Management and Security 2018, Munich, Germany.