Proactive Botnet Detection and Defense at Internet scale

Christian Dietz, Anna Sperotto, Aiko Pras, G. Dreo

    Research output: Contribution to conferencePoster

    41 Downloads (Pure)

    Abstract

    Botnets provide the basis for various cyber-threats. However, setting up a complex botnet infrastructure often involves registration of domain names in the domain name system (DNS). Active as well as passive monitoring approaches can be used in the detection of domains that are registered for botnets and other malicious activities. We present a novel architecture for proactive botent detection and defense based on large-scale DNS measurement and smart pattern recognition using machine learning.
    Original languageUndefined
    Number of pages1
    Publication statusPublished - Apr 2016

    Keywords

    • cybercrime
    • Active and Passive Measurement
    • EWI-27845
    • DNS
    • Internet Threats
    • Detection and Defence
    • Machine Learning
    • Botnet

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