Experimental comparison of features, analyses, and classifiers for Android malware detection

• Main Authors: SHAR, Lwin Khin, DEMISSIE, Biniam Fisseha, CECCATO, Mariano, YAN, Naing Tun, LO, David, JIANG, Lingxiao, BIENERT, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: malware detection; machine learning; deep learning; android; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8211; https://ink.library.smu.edu.sg/context/sis_research/article/9214/viewcontent/Empirical_Comparison_Malware_EMSE23_Jnl_Paper.pdf
• Institution: Singapore Management University

Android malware detection has been an active area of research. In the past decade, several machine learning-based approaches based on different types of features that may characterize Android malware behaviors have been proposed. The usually-analyzed features include API usages and sequences at vari...