Image de couverture de livre

An Empirical Study of Code Obfuscation Practices in the Google Play Store

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Niroshan, Akila, Seneviratne, Suranga, Seneviratne, Aruna
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
par: Silva, Bhanuka, et autres
Publié: (2026)

AutoPentester: An LLM Agent-based Framework for Automated Pentesting
par: Ginige, Yasod, et autres
Publié: (2025)

Detecting and Characterising Mobile App Metamorphosis in Google Play Store
par: Denipitiyage, D., et autres
Publié: (2024)

Empirical Study of Code Large Language Models for Binary Security Patch Detection
par: Li, Qingyuan, et autres
Publié: (2025)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
par: Crawford, Brian, et autres
Publié: (2026)

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
par: Patir, Rupam, et autres
Publié: (2025)

An Empirical Study of Vulnerabilities in Python Packages and Their Detection
par: Quan, Haowei, et autres
Publié: (2025)

Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
par: Tkachenko, Anton, et autres
Publié: (2025)

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
par: Hou, Xinyi, et autres
Publié: (2025)

An Empirical Study of Vulnerability Detection using Federated Learning
par: Zhou, Peiheng, et autres
Publié: (2024)

AutoDFBench 1.0: A Benchmarking Framework for Digital Forensic Tool Testing and Generated Code Evaluation
par: Wickramasekara, Akila, et autres
Publié: (2025)

Exploring Security Practices in Infrastructure as Code: An Empirical Study
par: Verdet, Alexandre, et autres
Publié: (2023)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
par: Ranaweera, Nishavi, et autres
Publié: (2025)

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects
par: Wang, Yuxuan, et autres
Publié: (2025)

A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality
par: Kholoosi, M. Mehdi, et autres
Publié: (2024)

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code
par: Blain, Dominik, et autres
Publié: (2026)

Eliciting Least-to-Most Reasoning for Phishing URL Detection
par: Trikilis, Holly, et autres
Publié: (2026)

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis
par: Ginige, Yasod, et autres
Publié: (2026)

Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
par: Catal, Melih, et autres
Publié: (2025)

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
par: Improta, Cristina
Publié: (2024)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
par: Hu, Junze, et autres
Publié: (2025)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
par: Yang, Hua, et autres
Publié: (2025)

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
par: Gajjar, Jugal, et autres
Publié: (2025)

Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
par: Lu, Mengdi, et autres
Publié: (2025)

Reflection-Driven Control for Trustworthy Code Agents
par: Wang, Bin, et autres
Publié: (2025)

Traces of Memorisation in Large Language Models for Code
par: Al-Kaswan, Ali, et autres
Publié: (2023)

AI Code Generators for Security: Friend or Foe?
par: Natella, Roberto, et autres
Publié: (2024)

SecCodeBench-V2 Technical Report
par: Chen, Longfei, et autres
Publié: (2026)

Security of LLM-generated Code: A Comparative Analysis
par: Morkonda, Srivathsan G, et autres
Publié: (2026)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
par: Mahyari, Andrew A
Publié: (2024)

Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
par: Gagnon, Charles E., et autres
Publié: (2025)

Learning to Generate Secure Code via Token-Level Rewards
par: Quan, Jiazheng, et autres
Publié: (2026)

MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
par: Steinberg, Jonathan, et autres
Publié: (2026)

Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
par: McDanel, Bradley
Publié: (2025)

Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
par: Bruni, Marc, et autres
Publié: (2025)

DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
par: Pathak, Abhijeet, et autres
Publié: (2025)

Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
par: Mitropoulos, Dimitris, et autres
Publié: (2026)

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
par: Dong, Xiaoning, et autres
Publié: (2024)

From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
par: Krishnamurthy, Ranjith, et autres
Publié: (2026)

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
par: Zhang, Xiaoyu, et autres
Publié: (2025)