A Bayesian probability model for Android malware detection

• Main Authors: Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif
• Format: Article
• Language: English
• Published: Elsevier 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/32536/1/A%20Bayesian%20probability%20model%20for%20Android%20malware.pdf; http://umpir.ump.edu.my/id/eprint/32536/; https://doi.org/10.1016/j.icte.2021.09.003; https://doi.org/10.1016/j.icte.2021.09.003
• Institution: Universiti Malaysia Pahang

The unprecedented growth of mobile technology has generated an increase in malware and raised concerns over malware threats. Different approaches have been adopted to overcome the malware attacks yet this spread is still increasing. To combat this issue, this study proposes an Android malware detect...