Android Permissions Remystified: A Field Study on Contextual Integrity
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Abstract (arXiv)
Due to the amount of data that smartphone applications can potentially access, platforms enforce permission systems that allow users to regulate how applications access protected resources. If users are asked to make security decisions too frequently and in benign situations, they may become habituated and approve all future requests without regard for the consequences. If they are asked to make too few security decisions, they may become concerned that the platform is revealing too much sensitive information. To explore this tradeoff, we instrumented the Android platform to collect data regarding how often and under what circumstances smartphone applications are accessing protected resources regulated by permissions. We performed a 36-person field study to explore the notion of "contextual integrity," that is, how often are applications accessing protected resources when users are not expecting it? Based on our collection of 27 million data points and exit interviews with participants, we examine the situations in which users would like the ability to deny applications access to protected resources. We found out that at least 80% of our participants would have preferred to prevent at least one permission request, and overall, they thought that over a third of requests were invasive and desired a mechanism to block them.
Key facts. Cited by 15 papers in the map (data through 13 Oct 2026). First posted on arXiv 15 Apr 2015.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 8; 2026: 3.
15 papers.
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- 2024AirGapAgent: Protecting Privacy-Conscious Conversational Agentscited by 92
- 2025Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agentscited by 86
- 2025Contextual Agent Security: A Policy for Every Purposecited by 57
- 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Surveycited by 26
- 2025Towards Automating Data Access Permissions in AI Agentscited by 21
- 2025Secure and Efficient Access Control for Computer-Use Agents via Context Spacecited by 11
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorizationcited by 5
- 2023Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Modelscited by 3
- 2025Can LLMs Make (Personalized) Access Control Decisions?cited by 3
- 2024A Decade of Privacy-Relevant Android App Reviews: Large Scale Trendscited by 2
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarioscited by 1
- 2022Android Malware Detection using Feature Ranking of Permissionscited by 0
3 more
- 2025"I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location datacited by 0
- 2025A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insightscited by 0
- 2026Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?cited by 0
- 2026Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?27 Aug 2026
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization12 May 2026
- 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey11 Mar 2026
- 2025Can LLMs Make (Personalized) Access Control Decisions?25 Nov 2025
- 2025Towards Automating Data Access Permissions in AI Agents22 Nov 2025
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios23 Oct 2025
- 2025Secure and Efficient Access Control for Computer-Use Agents via Context Space26 Sep 2025
- 2025A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights4 Aug 2025
- 2025Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents17 Mar 2025
- 2025"I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location data17 Feb 2025
- 2025Contextual Agent Security: A Policy for Every Purpose28 Jan 2025
- 2024AirGapAgent: Protecting Privacy-Conscious Conversational Agents8 May 2024
3 more
- 2024AirGapAgent: Protecting Privacy-Conscious Conversational Agentscited by 92
- 2025Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agentscited by 86
- 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Surveycited by 26
- 2025Secure and Efficient Access Control for Computer-Use Agents via Context Spacecited by 11
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorizationcited by 5
- 2026Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?cited by 0
- 2026Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?27 Aug 2026
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization12 May 2026
- 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey11 Mar 2026
- 2025Secure and Efficient Access Control for Computer-Use Agents via Context Space26 Sep 2025
- 2025Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents17 Mar 2025
- 2024AirGapAgent: Protecting Privacy-Conscious Conversational Agents8 May 2024
- 2025Contextual Agent Security: A Policy for Every Purposecited by 57
- 2025Towards Automating Data Access Permissions in AI Agentscited by 21
- 2023Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Modelscited by 3
- 2025Can LLMs Make (Personalized) Access Control Decisions?cited by 3
- 2024A Decade of Privacy-Relevant Android App Reviews: Large Scale Trendscited by 2
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarioscited by 1
- 2022Android Malware Detection using Feature Ranking of Permissionscited by 0
- 2025"I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location datacited by 0
- 2025A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insightscited by 0
- 2025Can LLMs Make (Personalized) Access Control Decisions?25 Nov 2025
- 2025Towards Automating Data Access Permissions in AI Agents22 Nov 2025
- 2025User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios23 Oct 2025
- 2025A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights4 Aug 2025
- 2025"I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location data17 Feb 2025
- 2025Contextual Agent Security: A Policy for Every Purpose28 Jan 2025
- 2024A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends4 Mar 2024
- 2023Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models3 Nov 2023
- 2022Android Malware Detection using Feature Ranking of Permissions20 Jan 2022