Applying Bayesian probability for Android malware detection using permission features

• Main Authors: Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif, Azlee, Zabidi
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/32537/1/Applying%20Bayesian%20probability%20for%20Android%20malware.pdf; http://umpir.ump.edu.my/id/eprint/32537/; https://doi.org/10.1109/ICSECS52883.2021.00111
• Institution: Universiti Malaysia Pahang

he tremendous rise of mobile technology has boosted malware and has raised the threat of malware. The proliferation of malware has given a great concern among mobile users. Various approaches have been applied to prevent malware spread, including firewalls, antivirus software and many more methods....