Towards mining comprehensive Android sandboxes

• Main Authors: LE, Tien-Duy B., BAO, Lingfeng, LO, David, GAO, Debin, LI, Li
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Android security; Malicious behavior detection; Mining sandboxes; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4289; https://ink.library.smu.edu.sg/context/sis_research/article/5292/viewcontent/le2018towards.pdf
• Institution: Singapore Management University

Android is the most widely used mobile operating system with billions of users and devices. The popularity of Android apps have enticed malware writers to target them. Recently, Jamrozik et al. proposed an approach, named Boxmate, to mine sandboxes to protect Android users from malicious behaviors....