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Lightweight and Scalable Intrusion Trace Classification Using Interelement Dependency Models Suitable for Wireless Sensor Network Environment

We present a lightweight and scalable method for classifying network and program traces to detect system intrusion attempts. By employing interelement dependency models to overcome the independence violation problem inherent in the Naive Bayes learners, our method yields intrusion detectors with bet...

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Autor principal: Dae-Ki Kang
Format: Artigo
Idioma:Inglês
Publicat: Wiley 2013-07-01
Col·lecció:International Journal of Distributed Sensor Networks
Accés en línia:https://doi.org/10.1155/2013/904953
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