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  • Detecting masquerades using a combination of Naive Bayes and weighted RBF approach

    Author(s)
    Sharma, A
    Paliwal, KK
    Griffith University Author(s)
    Paliwal, Kuldip K.
    Year published
    2007
    Metadata
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    Abstract
    Masquerade detection by automated means is gaining widespread interest due to the serious impact of masquerades on computer system or network. Several techniques have been introduced in an effort to minimize up to some extent the risk associated with masquerade attack. In this respect, we have developed a novel technique which comprises of Naﶥ Bayes approach and weighted radial basis function similarity approach. The proposed scheme exhibits very promising results in comparison with many earlier techniques while experimenting on SEA dataset in detecting masquerades.Masquerade detection by automated means is gaining widespread interest due to the serious impact of masquerades on computer system or network. Several techniques have been introduced in an effort to minimize up to some extent the risk associated with masquerade attack. In this respect, we have developed a novel technique which comprises of Naﶥ Bayes approach and weighted radial basis function similarity approach. The proposed scheme exhibits very promising results in comparison with many earlier techniques while experimenting on SEA dataset in detecting masquerades.
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    Journal Title
    Journal in Computer Virology
    Volume
    3
    Publisher URI
    http://www.springer.com/computer/journal/11416
    DOI
    https://doi.org/10.1007/s11416-007-0055-z
    Subject
    Computer Software
    Publication URI
    http://hdl.handle.net/10072/17415
    Collection
    • Journal articles

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