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iShield: A Framework for Preserving Privacy of iOS App User
Author(s) -
Arpita Jadhav Bhatt,
Chetan Gupta,
Sangeeta Mittal
Publication year - 2019
Publication title -
journal of cyber security and mobility
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.198
H-Index - 9
eISSN - 2245-4578
pISSN - 2245-1439
DOI - 10.13052/2245-1439.845
Subject(s) - computer science , internet privacy , privacy software , information privacy , overhead (engineering) , privacy protection , privacy by design , user information , privacy policy , world wide web , computer security , information system , engineering , electrical engineering , operating system
Do iOS apps honour user’s privacy? Protection of user’s privacy by apps has lately emerged as a big challenge. Many studies have identified that there exists an inherent trade-off between end user’s privacy and apps’functionality. Some methods have been proposed to preserve user’s privacy of specific data like location and health information. However, a comprehensive framework to enable privacy preserving data sharing by apps has not been found. In this paper, we have proposed iShield - a privacy preserving framework that can be easily integrated by developers at the time of app creation to enforce privacy with minimal performance overhead. Privacy threat to a user has been quantified by calculation of privacy disclosure score of an app user. Empirical results demonstrate that the approach significantly reduces the privacy disclosure of the user.  

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