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ElMouatez Billah Karbab – författare

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3 produkter

  1. ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb - Android Malware Detection using Machine Learning, Inbunden. Tillgänglighet: Lägg i varukorg

    Android Malware Detection using Machine Learning

    Data-Driven Fingerprinting and Threat Intelligence

    Av ElMouatez Billah Karbab, Mourad Debbabi m. fl.

    Inbunden, 2021

    1914 kr

    Lägg i varukorg

    The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over …

  2. Djedjiga Mouheb, Abdelouahid Derhab, Mourad Debbabi, ElMouatez Billah Karbab - Android Malware Detection using Machine Learning, E-bok. Tillgänglighet: Lägg i varukorg

    Android Malware Detection using Machine Learning

    Data-Driven Fingerprinting and Threat Intelligence

    Av Djedjiga Mouheb, Abdelouahid Derhab m. fl.

    E-bok, 2021

    2509 kr

    Lägg i varukorg

    The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over …

  3. ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb - Android Malware Detection using Machine Learning, Häftad. Tillgänglighet: Lägg i varukorg

    Android Malware Detection using Machine Learning

    Data-Driven Fingerprinting and Threat Intelligence

    Av ElMouatez Billah Karbab, Mourad Debbabi m. fl.

    Häftad, 2022

    1914 kr

    Lägg i varukorg

    The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over …