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A mobile malware detection framework based on ensemble classifier of multiple N-Gram opcode probability output

The advancement of mobile devices nowadays lets users do varieties of activities including surfing the internet, online banking transactions, engaging in social networking and hence increasing the usage of mobile devices. This scenario opens the possibility for cybercriminals to launch a mobile malw...

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Bibliographic Details
Main Author: Anuar, Noor Azleen
Format: Thesis
Language:English
English
Published: 2023
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/28279/1/A%20mobile%20malware%20detection%20framework%20based%20on%20ensemble%20classifier%20of%20multiple%20N-Gram%20opcode%20probability%20output.pdf
http://eprints.utem.edu.my/id/eprint/28279/2/A%20mobile%20malware%20detection%20framework%20based%20on%20ensemble%20classifier%20of%20multiple%20N-Gram%20opcode%20probability%20output.pdf
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http://eprints.utem.edu.my/id/eprint/28279/1/A%20mobile%20malware%20detection%20framework%20based%20on%20ensemble%20classifier%20of%20multiple%20N-Gram%20opcode%20probability%20output.pdf
http://eprints.utem.edu.my/id/eprint/28279/2/A%20mobile%20malware%20detection%20framework%20based%20on%20ensemble%20classifier%20of%20multiple%20N-Gram%20opcode%20probability%20output.pdf

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