Sabhadiya et al., 2019 - Google Patents
Android malware detection using deep learningSabhadiya 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 …
- 238000001514 detection method 0 title abstract description 45
Classifications
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- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/562—Static detection
- G06F21/563—Static detection by source code analysis
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- G06F21/566—Dynamic detection, i.e. detection performed at run-time, e.g. emulation, suspicious activities
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- G06F21/51—Monitoring 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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