A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
Fuente:
arXiv
Saved in:
| Main Authors: | Alkinoon, Ali, Dang, Trung Cuong, Alghuried, Ahod, Alghamdi, Abdulaziz, Choi, Soohyeon, Mohaisen, Manar, Wang, An, Salem, Saeed, Mohaisen, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
by: Alghuried, Ahod, et al.
Published: (2025)
by: Alghuried, Ahod, et al.
Published: (2025)
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
by: Alghuried, Ahod, et al.
Published: (2025)
by: Alghuried, Ahod, et al.
Published: (2025)
Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
by: Alghamdi, Abdulaziz, et al.
Published: (2025)
by: Alghamdi, Abdulaziz, et al.
Published: (2025)
Enhancing Vulnerability Reports with Automated and Augmented Description Summarization
by: Althebeiti, Hattan, et al.
Published: (2025)
by: Althebeiti, Hattan, et al.
Published: (2025)
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
by: Alghureid, Ahod, et al.
Published: (2024)
by: Alghureid, Ahod, et al.
Published: (2024)
Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
by: Dang, Trung Cuong, et al.
Published: (2025)
by: Dang, Trung Cuong, et al.
Published: (2025)
Understanding Concept Drift with Deprecated Permissions in Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)
by: Sabbah, Ahmed, et al.
Published: (2025)
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
by: Kharma, Mohammed, et al.
Published: (2025)
by: Kharma, Mohammed, et al.
Published: (2025)
Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)
by: Sabbah, Ahmed, et al.
Published: (2025)
Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows
by: Lin, Jie, et al.
Published: (2025)
by: Lin, Jie, et al.
Published: (2025)
Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)
by: Sabbah, Ahmed, et al.
Published: (2026)
Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)
by: Sabbah, Ahmed, et al.
Published: (2026)
Modernizing User Privacy Preference Measurement through GPPI: A GDPR-aligned Privacy Preference Item Bank
by: Hmaiti, Yahya, et al.
Published: (2026)
by: Hmaiti, Yahya, et al.
Published: (2026)
Dissecting the Infrastructure Used in Web-based Cryptojacking: A Measurement Perspective
by: Adeniran, Ayodeji, et al.
Published: (2024)
by: Adeniran, Ayodeji, et al.
Published: (2024)
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025)
by: Choi, Soohyeon, et al.
Published: (2025)
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
by: Jaffal, Niveen O., et al.
Published: (2025)
by: Jaffal, Niveen O., et al.
Published: (2025)
Enhancing Reliability in LLM-Based Secure Code Generation
by: Kharma, Mohammed F., et al.
Published: (2026)
by: Kharma, Mohammed F., et al.
Published: (2026)
PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection
by: Camarato, Steffen J., et al.
Published: (2026)
by: Camarato, Steffen J., et al.
Published: (2026)
Silent Consent, Persistent Risk: Android Permission Groups and Custom Permissions
by: Akanji, Olawale Amos, et al.
Published: (2026)
by: Akanji, Olawale Amos, et al.
Published: (2026)
An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods
by: Kharma, Mohammed, et al.
Published: (2026)
by: Kharma, Mohammed, et al.
Published: (2026)
GUI Design for Android Apps
by: Cohen, Ryan, et al.
Published: (2018)
by: Cohen, Ryan, et al.
Published: (2018)
GUI Design for Android Apps
by: Ryan Cohen
by: Ryan Cohen
HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps
by: Saha, Bilash, et al.
Published: (2023)
by: Saha, Bilash, et al.
Published: (2023)
A Comparative Study of Full Apps and Lite Apps for Android
by: Tang, Yutian, et al.
Published: (2025)
by: Tang, Yutian, et al.
Published: (2025)
Evolution of Android's Permission-based Security Model and Challenges
by: Solanki, Rajendra Kumar, et al.
Published: (2026)
by: Solanki, Rajendra Kumar, et al.
Published: (2026)
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
by: Isler, Ilkin Sevgi, et al.
Published: (2025)
by: Isler, Ilkin Sevgi, et al.
Published: (2025)
A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development
by: Kharma, Mohammed, et al.
Published: (2026)
by: Kharma, Mohammed, et al.
Published: (2026)
Exploring Hidden Geographic Disparities in Android Apps
by: Alecci, M., et al.
Published: (2025)
by: Alecci, M., et al.
Published: (2025)
Diagnosing and Mitigating Domain Shift in Permission-Based Android Malware Detection
by: Islam, Md Rafid
Published: (2026)
by: Islam, Md Rafid
Published: (2026)
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
by: Hu, Han, et al.
Published: (2025)
by: Hu, Han, et al.
Published: (2025)
Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies
by: Mehdi Asadi, et al.
Published: (2024)
by: Mehdi Asadi, et al.
Published: (2024)
LLMAID: Identifying AI Capabilities in Android Apps with LLMs
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)
by: Chen, Junfeng, et al.
Published: (2024)
Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring
by: Mahara, Ashim
Published: (2025)
by: Mahara, Ashim
Published: (2025)
On Automatically Generating Assertions for Validating Reported Failures in Android Apps
by: Anonymous Authors
Published: (2025)
by: Anonymous Authors
Published: (2025)
Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)
by: Alecci, Marco, et al.
Published: (2025)
ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
by: Suo, Dewen, et al.
Published: (2024)
by: Suo, Dewen, et al.
Published: (2024)
Stealthy Backdoor Attack to Real-world Models in Android Apps
by: Wei, Jiali, et al.
Published: (2025)
by: Wei, Jiali, et al.
Published: (2025)
An Empirical Comparison of Security and Privacy Characteristics of Android Messaging Apps
by: Karyotakis, Ioannis, et al.
Published: (2026)
by: Karyotakis, Ioannis, et al.
Published: (2026)
Understanding and Detecting Platform-Specific Violations in Android Auto Apps
by: Fakorede, Moshood, et al.
Published: (2025)
by: Fakorede, Moshood, et al.
Published: (2025)
Similar Items
-
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
by: Alghuried, Ahod, et al.
Published: (2025) -
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
by: Alghuried, Ahod, et al.
Published: (2025) -
Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
by: Alghamdi, Abdulaziz, et al.
Published: (2025) -
Enhancing Vulnerability Reports with Automated and Augmented Description Summarization
by: Althebeiti, Hattan, et al.
Published: (2025) -
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
by: Alghureid, Ahod, et al.
Published: (2024)