Uncovering user-triggered privacy leaks in mobile applications and their utility in privacy protection

• Main Author: CHAN, Joo Keng Joseph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Mobile Privacy; Automated Testing; Static/Dynamic Analysis; Field User-Study Experiments; Data Log Mining; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/etd_coll_all/39; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1041&context=etd_coll_all
• Institution: Singapore Management University

Mobile applications are increasingly popular, and help mobile users in many aspects of their lifestyle. Applications have access to a wealth of information about the user through powerful developer APIs. It is known that most applications, even popular and highly regarded ones, utilize and leak priv...