Feature selection for malicious android applications using Symmetrical Uncert Attribute Eval method
The fast growth of tablets, smartphones has led to increase the usage of mobile applications. The Android apps have more popularity, however, the applications downloaded from third-party markets could be malware that may threaten the users' privacy. Several works used techniques to detect norma...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92352/1/AAli2020_FeatureSelectionForMaliciousAndroidApplications.pdf http://eprints.utm.my/id/eprint/92352/ http://dx.doi.org/10.1088/1757-899X/884/1/012060 |
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