Sökning: "Identifiering av Attackkällor"

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  1. 1. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gabriel Damour; [2019]
    Nyckelord :Network Security; Distributed Denial of Service; DDoS; DoS; Anomaly Detection; Intrusion Detection; Attack Source Identification; Information Theory; Statistical Learnin; Nätverkssäkerhet; Distribuerad Överbelastningsattack; DDoS; DoS; Anomalidetektering; Intrångsdetektering; Identifiering av Attackkällor; Informationsteori; Maskininlärning;

    Sammanfattning : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. LÄS MER