A User-Centric Context-Aware Permission Governance Framework for Privacy Control in Default Mobile Applications

[2608.27914] A User-Centric Context-Aware Permission Governance Framework for Privacy Control in Default Mobile Applications Skip to main content Search Submit Donate Log in Computer Science > Cryptography and Security arXiv:2608.27914 (cs) [Submitted on 28 Aug 2026] Title: A User-Centric Context-Aware Permission Governance Framework for Privacy Control in Default Mobile Applications Authors: Asmau Yetunde Adeniran , Adeniran Kolade Ademuwagun , Fatimah Adamu-Fika , Samaila Musa Abdullahi , Freeman Bitrus , Fortune Daberechi Ifeanyi View PDF HTML (experimental) Abstract: Mobile operating systems provide runtime permission controls intended to improve user control over sensitive data. However, default or pre-installed applications are deeply integrated into the system, may operate with elevated privileges, and are difficult for users to scrutinize. Existing permission models generally grant persistent or temporary access for an application session without distinguishing among individual features, leaving users uncertain about when and why data are accessed. This paper presents a context-sensitive, user-focused permission governance framework for default mobile applications. It introduces a feature-based authorization option, "Allow When Needed," that restricts access to the functionality requiring the data rather than the entire application session. A weighted scoring system estimates the privacy implications of user choices based on permission sensitivity and authorization type. A web-based simulation platform was developed to model 30 realistic permission-request situations across six commonly used default application types and support controlled early-stage evaluation before native implementation. The exploratory assessment combined a cross-sectional survey of 104 respondents examining permission awareness and behavior with formative usability testing involving eight participants interacting with the prototype. Survey findings indicate that users do not consistently examine default-application permissions and prefer contextual explanations before granting access. The results provide preliminary evidence that context-aware permission governance can improve user understanding and decision clarity. This simulation-based study represents an initial step toward evaluating feature-level authorization and privacy-feedback mechanisms before native mobile deployment. Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2608.27914 [cs.CR] (or arXiv:2608.27914v1 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2608.27914 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Asmau Adeniran [ view email ] [v1] Fri, 28 Aug 2026 04:41:39 UTC (361 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Additional Features Audio Summary Current browse context: cs.CR < prev | next > new | recent | 2026-08 Change to browse by: cs References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

Related documents

• A User-Centric Context-Aware Permission Governance Framework for Privacy Control in Default Mobile Applications#779817
• A User-Centric Context-Aware Permission Governance Framework for Privacy Control in Default Mobile Applications#618518
• A Secure, Manifest-Based Framework for Delegated Privilege Promotion#972440
• MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management#309444
• Temporal and cultural limits of privacy in smartphone app usage#404572