Automatic, highly accurate app permission recommendation

• Main Authors: LIU, Zhongxin, XIA, Xin, LO, David, GRUNDY, John
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Android security model; Collaborative filtering; Content-based recommendation; Permission recommendation; Software Engineering; Systems Architecture
• Online Access: https://ink.library.smu.edu.sg/sis_research/4366; https://ink.library.smu.edu.sg/context/sis_research/article/5369/viewcontent/Liu2019_Article_AutomaticHighlyAccurateAppPerm.pdf
• Institution: Singapore Management University

To ensure security and privacy, Android employs a permission mechanism which requires developers to explicitly declare the permissions needed by their applications (apps). Users must grant those permissions before they install apps or during runtime. This mechanism protects users’ private data, but...