Experimental comparison of features and classifiers for Android malware detection

• Main Authors: SHAR, Lwin Khin, DEMISSIE, Biniam Fisseha, CECCATO, Mariano, MINN, Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Malware detection; machine learning; deep learning; Android; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5115; https://ink.library.smu.edu.sg/context/sis_research/article/6118/viewcontent/Experimental_Comparison_of_Features_and_Classifiers_for_Android_Malware_Detection.pdf
• Institution: Singapore Management University

Android platform has dominated the smart phone market for years now and, consequently, gained a lot of attention from attackers. Malicious apps (malware) pose a serious threat to the security and privacy of Android smart phone users. Available approaches to detect mobile malware based on machine lea...