PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations

Rui Liu, Jiannong Cao, Lei Yang, Kehuan Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Privacy is a pivotal issue of mobile apps because there is a plethora of personal and sensitive information in smartphones. Various mechanisms and tools are proposed to detect and mitigate privacy leaks. However, they rarely consider users' preferences and expectations. Users hold various expectations towards different mobile apps. For example, users can allow a social app to access their photos rather than a game app because it is beyond users' expectation when an entertainment app gets the personal photos. Therefore, we believe it is vital to understand users' privacy expectations to various mobile apps and help them to mitigate privacy risks in the smartphone accordingly. To achieve this objective, we propose and implement PriWe, a system based on crowd sourcing driven by users who contribute privacy permission settings of their apps in smartphones. PriWe leverages the crowd sourced permission settings to understand users' privacy expectation and provides app specific recommendations to mitigate information leakage. We deployed PriWe in the real world for evaluation. According to the feedbacks of 78 users from the real world and 382 participants from Amazon Mechanical Turk, PriWe can make proper recommendations which can meet participants' privacy expectation and are mostly accepted by users, thereby help them to mitigate privacy disclosure in smartphones.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015
PublisherIEEE
Pages150-157
Number of pages8
ISBN (Electronic)9781467372848
DOIs
Publication statusPublished - 26 Aug 2015
Event3rd IEEE International Conference on Mobile Services, MS 2015 - New York, United States
Duration: 27 Jun 20152 Jul 2015

Conference

Conference3rd IEEE International Conference on Mobile Services, MS 2015
CountryUnited States
CityNew York
Period27/06/152/07/15

Keywords

  • crowdsourcing
  • mobile privacy
  • recommendation

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications

Cite this