Automated feature selection using boruta algorithm to detect mobile malware
The usage of android system is rapidly growing in mobile devices. Android system might also incur severe different malware dangers and security threats such as infections, root exploit, Trojan, and worms. The malware has potential to compromise and steal the private data, classified data, instant me...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The World Academy of Research in Science and Engineering
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43141/1/Automated%20Feature%20Selection%20using%20Boruta%20Algorithm%20to%20Detect%20Mobile%20Malware.pdf |