Meta-learning for multi-family Android malware classification

• Main Authors: LI, Yao, YUAN, Dawei, ZHANG, Tao, CAI, Haipeng, LO, David, GAO, Cuiyun, LUO, Xiapu, JIANG, He
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Android; malware family; meta-learning; classification; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9429; https://ink.library.smu.edu.sg/context/sis_research/article/10429/viewcontent/3664806_pvoa_cc_by.pdf
• Institution: Singapore Management University

With the emergence of smartphones, Android has become a widely used mobile operating system. However, it is vulnerable when encountering various types of attacks. Every day, new malware threatens the security of users' devices and private data. Many methods have been proposed to classify malici...