Fine-grained in-context permission classification for Android apps using control-flow graph embedding

• Main Authors: MALVIYA, Vikas Kumar, YAN, Naing Tun, LEOW, Chee Wei, TEE, Ailys Xynyn, SHAR, Lwin Khin, JIANG, Lingxiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Privacy protection; Permission control; Android apps; Control flow graphs; Graph embedding; Classification; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8387; https://ink.library.smu.edu.sg/context/sis_research/article/9390/viewcontent/ase_2023_camera_ready__1_.pdf
• Institution: Singapore Management University

Android is the most popular operating system for mobile devices nowadays. Permissions are a very important part of Android security architecture. Apps frequently need the users’ permission, but many of them only ask for it once—when the user uses the app for the first time—and then they keep and abu...