Empirical study on intelligent android malware detection based on supervised machine learning

• Main Authors: Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla
• Format: Article
• Language: English; English
• Published: Science and Information Organization 2020
• Subjects: T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/84592/20/84592%20Empirical%20Study%20on%20Intelligent%20Android%20Malware.pdf; http://irep.iium.edu.my/84592/8/84592_Empirical%20Study%20on%20Intelligent%20Android%20Malware%20Detection_SCOPUS.pdf; http://irep.iium.edu.my/84592/; https://thesai.org/Downloads/Volume11No4/Paper_29-Empirical_Study_on_Intelligent_Android_Malware.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

The increasing number of mobile devices using the Android operating system in the market makes these devices the first target for malicious applications. In recent years, several Android malware applications were developed to perform certain illegitimate activities and harmful actions on mobile devi...