Understanding and Capturing People's Mobile App Privacy Preferences

Abstract

Users are increasingly expected to manage a wide range of security and privacy settings. An important example of this trend is the variety of users might be called upon to review permissions when they download mobile apps. Experiments have shown that most users struggle with reviewing these permissions. Earlier research efforts in this area have primarily focused on protecting users privacy and security through the development of analysis tools and extensions intended to further increase the level of control provided to users with little regard for human factor considerations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 28, 2013
Accession Number
ADA589489

Entities

People

  • Jialiu Lin

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Counter WMD
  • Cyber
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computers
  • Information Science
  • Internet
  • Machine Learning
  • Mobile Application Software
  • Mobile Devices
  • Mobile Operating Systems
  • Mobile Phones
  • Network Science
  • Operating Systems
  • Smartphones
  • Social Media
  • Social Networking Services
  • Social Networks
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Strategic Security Studies