Cover Image

From Sands to Mansions: Towards Automated Cyberattack Emulation with Classical Planning and Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Lingzhi, Li, Zhenyuan, Jiang, Yi, Wang, Zhengkai, Shen, Xiangmin, Ruan, Wei, Chen, Yan
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Penetration Testing with LLM Agents and Classical Planning
by: Wang, Lingzhi, et al.
Published: (2025)

PentestAgent: Incorporating LLM Agents to Automated Penetration Testing
by: Shen, Xiangmin, et al.
Published: (2024)

Decoding the MITRE Engenuity ATT&CK Enterprise Evaluation: An Analysis of EDR Performance in Real-World Environments
by: Shen, Xiangmin, et al.
Published: (2024)

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
by: Wang, Lingzhi, et al.
Published: (2024)

PARIS: A Practical, Adaptive Trace-Fetching and Real-Time Malicious Behavior Detection System
by: Wang, Jian, et al.
Published: (2024)

AEAS: Actionable Exploit Assessment System
by: Shen, Xiangmin, et al.
Published: (2025)

Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and Robust Detection of Cyber Attacks
by: Li, Zhenyuan, et al.
Published: (2024)

Beyond Input Guardrails: Reconstructing Cross-Agent Semantic Flows for Execution-Aware Attack Detection
by: Wei, Yangyang, et al.
Published: (2026)

Large Language Models as Explainable Cyberattack Detectors for Energy Industrial Control Systems
by: Kong, Weiyi, et al.
Published: (2026)

Towards Scalable and Interpretable Mobile App Risk Analysis via Large Language Models
by: Yang, Yu, et al.
Published: (2025)

Towards Automated Pentesting with Large Language Models
by: Bessa, Ricardo, et al.
Published: (2026)

Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models
by: Wei, Zhang, et al.
Published: (2025)

MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
by: Deng, Gelei, et al.
Published: (2023)

PortGPT: Towards Automated Backporting Using Large Language Models
by: Li, Zhaoyang, et al.
Published: (2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
by: Yuan, Xiaohan, et al.
Published: (2024)

Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
by: Li, Yi, et al.
Published: (2024)

Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays
by: Saber, Ahmad Mohammad, et al.
Published: (2026)

An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models
by: Dai, Rujie, et al.
Published: (2025)

Optimal Planning for Enhancing the Resilience of Modern Distribution Systems Against Cyberattacks
by: Khashayardoost, Armita, et al.
Published: (2025)

Cyberattack Detection in Critical Infrastructure and Supply Chains
by: Khapre, Smita
Published: (2025)

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
by: Damodaran, Suresh K., et al.
Published: (2025)

AutoIoT: Automated IoT Platform Using Large Language Models
by: Cheng, Ye, et al.
Published: (2024)

Towards Action Hijacking of Large Language Model-based Agent
by: Zhang, Yuyang, et al.
Published: (2024)

Machine Unlearning in Large Language Models
by: Chen, Kongyang, et al.
Published: (2024)

Differentiation Between Faults and Cyberattacks through Combined Analysis of Cyberspace Logs and Physical Measurements
by: Ahsan, Mohammad Shamim, et al.
Published: (2026)

A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
by: Okporokpo, Oghenetejiri, et al.
Published: (2025)

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks
by: Wang, Ruoxi, et al.
Published: (2025)

GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics
by: Huang, Shu-Ting, et al.
Published: (2025)

Outer Space Cyberattacks: Generating Novel Scenarios to Avoid Surprise
by: Lin, Patrick, et al.
Published: (2024)

Destabilizing Power Grid and Energy Market by Cyberattacks on Smart Inverters
by: Hui, Xiangyu, et al.
Published: (2025)

On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
by: Sen, Omer, et al.
Published: (2024)

Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks
by: Khoa, Tran Viet, et al.
Published: (2024)

IRCopilot: Automated Incident Response with Large Language Models
by: Lin, Xihuan, et al.
Published: (2025)

A Framework for Evaluating Emerging Cyberattack Capabilities of AI
by: Rodriguez, Mikel, et al.
Published: (2025)

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
by: Sharshar, Muhammad, et al.
Published: (2025)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
by: Yin, Ziyi, et al.
Published: (2025)

The Dark Side of Flexibility: How Aggregated Cyberattacks Threaten the Power Grid
by: Myrén, Daniel, et al.
Published: (2025)

Vision-Based Learning for Cyberattack Detection in Blockchain Smart Contracts and Transactions
by: Son, Do Hai, et al.
Published: (2025)

Differential Privacy for Regulatory Compliance in Cyberattack Detection on Critical Infrastructure Systems
by: Ramanan, Paritosh, et al.
Published: (2025)

Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks
by: Dalamagkas, Christos, et al.
Published: (2025)