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Sabhadiya et al., 2019 - Google Patents

Android malware detection using deep learning

Sabhadiya et al., 2019

Document ID
6808024465444742407
Author
Sabhadiya S
Barad J
Gheewala J
Publication year
Publication venue
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)

External Links

Snippet

Android has become the most standard smartphone operating system. The rapidly growing acceptance of android has resulted in significant increase in the number of malwares when compared with earlier years. There exists plenty of antimalware programs which are …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/56Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562Static detection
    • G06F21/563Static detection by source code analysis
    • GPHYSICS
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    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/56Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/566Dynamic detection, i.e. detection performed at run-time, e.g. emulation, suspicious activities
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    • G06F21/565Static detection by checking file integrity
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    • G06F21/568Computer malware detection or handling, e.g. anti-virus arrangements eliminating virus, restoring damaged files
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    • G06F21/51Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability

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