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    Deep android malware detection 

    McLaughlin, Niall; Martinez del Rincon, Jesus; Kang, BooJoong; Yerima, Suleiman; Miller, Paul; Sezer, Sakir; Safaei, Yeganeh; Trickel, Erik; Zhao, Ziming; Doupe, Adam; Gail Joon Ahn (ACM, 2017-03)
    In this paper, we propose a novel android malware detection system that uses a deep convolutional neural network (CNN). Malware classification is performed based on static analysis of the raw opcode sequence from a ...
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    EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning 

    Yerima, Suleiman; Sezer, Sakir; Alzaylaee, Mohammed K. (ACM, 2017-03-24)
    The Android operating system has become the most popular operating system for smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware employ detection avoidance techniques in order to hide ...
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    AuthorSezer, Sakir (2)
    Yerima, Suleiman (2)
    Alzaylaee, Mohammed K. (1)Doupe, Adam (1)Gail Joon Ahn (1)Kang, BooJoong (1)Martinez del Rincon, Jesus (1)McLaughlin, Niall (1)Miller, Paul (1)Safaei, Yeganeh (1)... View MoreSubject
    android malware (2)
    machine learning (2)
    malware detection (2)
    anti-analysis (1)anti-emulation (1)application security (1)convolutional neural networks (1)dynamic analysis (1)malware mitigation (1)n-grams (1)... View MoreDate Issued
    2017 (2)
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    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
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