Image de couverture de livre

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ginige, Yasod, Marasinghe, Pasindu, Jain, Sajal, Seneviratne, Suranga
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

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

An Empirical Study of Code Obfuscation Practices in the Google Play Store
par: Niroshan, Akila, et autres
Publié: (2025)

AutoPenBench: Benchmarking Generative Agents for Penetration Testing
par: Gioacchini, Luca, et autres
Publié: (2024)

RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents
par: Nakatani, Sho
Publié: (2025)

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

DeePen: Penetration Testing for Audio Deepfake Detection
par: Müller, Nicolas, et autres
Publié: (2025)

Penetration Testing of Agentic AI: A Comparative Security Analysis Across Models and Frameworks
par: Nguyen, Viet K., et autres
Publié: (2025)

PenTest++: Elevating Ethical Hacking with AI and Automation
par: Al-Sinani, Haitham S., et autres
Publié: (2025)

Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements
par: Isozaki, Isamu, et autres
Publié: (2024)

PentestMCP: A Toolkit for Agentic Penetration Testing
par: Ezetta, Zachary, et autres
Publié: (2025)

Multi-Agent Penetration Testing AI for the Web
par: David, Isaac, et autres
Publié: (2025)

Reinforcement Learning for Automated Cybersecurity Penetration Testing
par: López-Montero, Daniel, et autres
Publié: (2025)

AWE: Adaptive Agents for Dynamic Web Penetration Testing
par: Jaswal, Akshat Singh, et autres
Publié: (2026)

xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models
par: Luong, Phung Duc, et autres
Publié: (2025)

Blockchain Signatures to Ensure Information Integrity and Non-Repudiation in the Digital Era: A comprehensive study
par: Banerjee, Kaveri, et autres
Publié: (2025)

Lessons from Penetration Tests on Large-Scale Agent Systems
par: Eykholt, Kevin, et autres
Publié: (2026)

APT-Agent: Automated Penetration Testing using Large Language Models
par: Li, William Guanting, et autres
Publié: (2026)

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
par: Peng, Jiaren, et autres
Publié: (2026)

Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
par: Van Woensel, William, et autres
Publié: (2024)

Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN
par: Becker, Norman, et autres
Publié: (2024)

Cochise: A Reference Harness for Autonomous Penetration Testing
par: Happe, Andreas, et autres
Publié: (2026)

A Framework to Assess Multilingual Vulnerabilities of LLMs
par: Tang, Likai, et autres
Publié: (2025)

Incorporation of Verifier Functionality in the Software for Operations and Network Attack Results Review and the Autonomous Penetration Testing System
par: Milbrath, Jordan, et autres
Publié: (2024)

AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?
par: Wu, Benlong, et autres
Publié: (2024)

AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
par: Liu, Xiaogeng, et autres
Publié: (2025)

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

MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
par: Ge, Yunfei, et autres
Publié: (2024)

WiFiPenTester: Advancing Wireless Ethical Hacking with Governed GenAI
par: Al-Sinani, Haitham S., et autres
Publié: (2026)

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency
par: Erdem, Galip Tolga
Publié: (2026)

BreachSeek: A Multi-Agent Automated Penetration Tester
par: Alshehri, Ibrahim, et autres
Publié: (2024)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
par: Tavallaie, Omid, et autres
Publié: (2024)

Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
par: Lin, Justin W., et autres
Publié: (2025)

Leveraging AI to optimize website structure discovery during Penetration Testing
par: Antonelli, Diego, et autres
Publié: (2021)

CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher
par: Pratama, Derry, et autres
Publié: (2024)

Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
par: Li, Yuanliang, et autres
Publié: (2024)

Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought Monitorability
par: Zolkowski, Artur, et autres
Publié: (2025)

ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing
par: Lei, Haozhe, et autres
Publié: (2024)

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
par: Yang, Ruozhao, et autres
Publié: (2025)

PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT
par: Duy, Phan The, et autres
Publié: (2026)