A new mobile malware classification for SMS exploitation

Mobile malware is ubiquitous in many malicious activities such as money stealing. Consumers are charged without their consent. This paper explores how mobile malware exploit the system calls via SMS. As a solution, we proposed a system calls classification based on surveillance exploitation system c...

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Bibliographic Details

Main Authors:	Zaizi N.J.M., Khailani A., Madihah Mohd Saudi
Other Authors:	Faculty of Science and Technology
Format:	Conference Paper
Language:	English en_US
Published:	Springer Verlag 2024
Subjects:	Android Big data Covering algorithm Data classification Mobile malware Android (operating system) Classification (of information) Computer crime Malware Soft computing Android smartphone Covering algorithms Google plays Malicious activities Research focus Data mining
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