Cover Image

Visualizing Privacy-Relevant Data Flows in Android Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khedkar, Mugdha, Schlichtig, Michael, Mohan, Santhosh, Bodden, Eric
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward an Android Static Analysis Approach for Data Protection
by: Khedkar, Mugdha, et al.
Published: (2024)

Advancing Android Privacy Assessments with Automation
by: Khedkar, Mugdha, et al.
Published: (2024)

Challenges in Android Data Disclosure: An Empirical Study
by: Khedkar, Mugdha, et al.
Published: (2026)

Do Android App Developers Accurately Report Collection of Privacy-Related Data?
by: Khedkar, Mugdha, et al.
Published: (2024)

Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs
by: Chen, Zhiyuan, et al.
Published: (2026)

A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)

Assessing Privacy Compliance of Android Third-Party SDKs
by: Meng, Mark Huasong, et al.
Published: (2024)

Bytecode-centric Detection of Known-to-be-vulnerable Dependencies in Java Projects
by: Schott, Stefan, et al.
Published: (2025)

Uncovering Hidden Inclusions of Vulnerable Dependencies in Real-World Java Projects
by: Schott, Stefan, et al.
Published: (2026)

Software Security Analysis in 2030 and Beyond: A Research Roadmap
by: Böhme, Marcel, et al.
Published: (2024)

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)

From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
by: Krishnamurthy, Ranjith, et al.
Published: (2026)

Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity
by: Zhou, Bolin, et al.
Published: (2025)

Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)

Security Evaluation of Android apps in budget African Mobile Devices
by: Diallo, Alioune, et al.
Published: (2025)

ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
by: Suo, Dewen, et al.
Published: (2024)

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)

MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)

Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
by: Li, Kevin, et al.
Published: (2024)

Privacy and Confidentiality Requirements Engineering for Process Data
by: Haertel, Fabian, et al.
Published: (2025)

Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
by: Hu, Han, et al.
Published: (2024)

Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024)

FP-Predictor - False Positive Prediction for Static Analysis Reports
by: Ohlmer, Tom, et al.
Published: (2026)

How Far are App Secrets from Being Stolen? A Case Study on Android
by: Wei, Lili, et al.
Published: (2025)

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
by: Sun, Tiezhu, et al.
Published: (2025)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024)

zkSBOM: Privacy-Preserving SBOM Sharing with Zero-Knowledge Sets
by: Sorger, Tom, et al.
Published: (2026)

AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering
by: Zhao, Wenxiang, et al.
Published: (2024)

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
by: Pan, Shidong, et al.
Published: (2024)

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
by: Tao, Zhen, et al.
Published: (2025)

AndroScanner: Automated Backend Vulnerability Detection for Android Applications
by: Dandu, Harini
Published: (2026)

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
by: Si, Meixue, et al.
Published: (2024)

An Extensible Framework for Architecture-Based Data Flow Analysis for Information Security
by: Boltz, Nicolas, et al.
Published: (2024)

Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
by: Gong, Haochen, et al.
Published: (2025)

An Architecture for Privacy-Preserving Telemetry Scheme
by: Odoh, Kenneth
Published: (2025)

Finding Privacy-relevant Source Code
by: Tang, Feiyang, et al.
Published: (2024)

Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction
by: Khan, Maaz, et al.
Published: (2025)