Discovering optimal features using static analysis and a genetic search based method for Android malware detection
Mobile device manufacturers are rapidly producing miscellaneous android versions worldwide. Simultaneously, cyber criminals are executing malicious actions such as tracking user activities, stealing personal data, and committing bank fraud. These criminals gain numerous benefits as many people use a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19177/ http://umpir.ump.edu.my/id/eprint/19177/ http://umpir.ump.edu.my/id/eprint/19177/ http://umpir.ump.edu.my/id/eprint/19177/1/Discovering%20optimal%20features%20using%20static.pdf http://umpir.ump.edu.my/id/eprint/19177/2/Discovering%20optimal%20features%20using%20static1.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/19177/http://umpir.ump.edu.my/id/eprint/19177/
http://umpir.ump.edu.my/id/eprint/19177/
http://umpir.ump.edu.my/id/eprint/19177/1/Discovering%20optimal%20features%20using%20static.pdf
http://umpir.ump.edu.my/id/eprint/19177/2/Discovering%20optimal%20features%20using%20static1.pdf