Proactive Botnet Detection and Defense at Internet scale

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

    Research output: Contribution to conferencePoster

    40 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

    Cite this

    @conference{ebe96a4aeb8743c4aa662739ac5f3c79,
    title = "Proactive Botnet Detection and Defense at Internet scale",
    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.",
    keywords = "cybercrime, Active and Passive Measurement, EWI-27845, DNS, Internet Threats, Detection and Defence, Machine Learning, Botnet",
    author = "Christian Dietz and Anna Sperotto and Aiko Pras and G. Dreo",
    year = "2016",
    month = "4",
    language = "Undefined",

    }

    Proactive Botnet Detection and Defense at Internet scale. / Dietz, Christian; Sperotto, Anna; Pras, Aiko; Dreo, G.

    2016.

    Research output: Contribution to conferencePoster

    TY - CONF

    T1 - Proactive Botnet Detection and Defense at Internet scale

    AU - Dietz, Christian

    AU - Sperotto, Anna

    AU - Pras, Aiko

    AU - Dreo, G.

    PY - 2016/4

    Y1 - 2016/4

    N2 - 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.

    AB - 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.

    KW - cybercrime

    KW - Active and Passive Measurement

    KW - EWI-27845

    KW - DNS

    KW - Internet Threats

    KW - Detection and Defence

    KW - Machine Learning

    KW - Botnet

    M3 - Poster

    ER -