Image de couverture de livre

Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fieblinger, Romy, Alam, Md Tanvirul, Rastogi, Nidhi
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
par: Alam, Md Tanvirul, et autres
Publié: (2024)

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
par: Alam, Md Tanvirul, et autres
Publié: (2025)

Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation
par: Borah, Arnabh, et autres
Publié: (2025)

SECURE: Benchmarking Large Language Models for Cybersecurity
par: Bhusal, Dipkamal, et autres
Publié: (2024)

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums
par: Clairoux-Trepanier, Vanessa, et autres
Publié: (2024)

TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence
par: Simoni, Marco, et autres
Publié: (2025)

PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis
par: Bhusal, Dipkamal, et autres
Publié: (2024)

R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
par: Alam, Md Tanvirul, et autres
Publié: (2024)

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction
par: Sorokoletova, Olga, et autres
Publié: (2025)

Resource Consumption Threats in Large Language Models
par: Zhang, Yuanhe, et autres
Publié: (2026)

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
par: Cheng, Yutong, et autres
Publié: (2024)

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection
par: Alam, Md Tanvirul, et autres
Publié: (2025)

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
par: Wu, Yiran, et autres
Publié: (2025)

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
par: Mitra, Shaswata, et autres
Publié: (2025)

Large Language Models Are Unreliable for Cyber Threat Intelligence
par: Mezzi, Emanuele, et autres
Publié: (2025)

Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis
par: Esposito, Matteo, et autres
Publié: (2024)

AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research
par: Apostu, Alexandru-Mihai, et autres
Publié: (2025)

A Survey on Agentic Security: Applications, Threats and Defenses
par: Shahriar, Asif, et autres
Publié: (2025)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
par: Tu, Shangqing, et autres
Publié: (2024)

AI-Driven Cyber Threat Intelligence Automation
par: Shah, Shrit, et autres
Publié: (2024)

Cyber Threat Intelligence for Artificial Intelligence Systems
par: Krawczyk, Natalia, et autres
Publié: (2026)

CTIArena: Benchmarking LLM Knowledge and Reasoning Across Heterogeneous Cyber Threat Intelligence
par: Cheng, Yutong, et autres
Publié: (2025)

Beyond the Tip of Efficiency: Uncovering the Submerged Threats of Jailbreak Attacks in Small Language Models
par: Yi, Sibo, et autres
Publié: (2025)

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
par: Boreiko, Valentyn, et autres
Publié: (2024)

PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS
par: Dhanuka, Devang, et autres
Publié: (2025)

Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
par: Marinelli, Ryan, et autres
Publié: (2025)

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
par: Wang, Xuhong, et autres
Publié: (2024)

CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
par: Chen, Xiangsen, et autres
Publié: (2026)

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
par: Miranda, Michele, et autres
Publié: (2024)

From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures
par: Bonfanti, Chiara, et autres
Publié: (2026)

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
par: Meng, Yuqiao, et autres
Publié: (2025)

DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models
par: Kong, Kaichuan, et autres
Publié: (2025)

AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
par: Lange, Lukas, et autres
Publié: (2024)

Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic Retrieval
par: Hamzic, Dzenan, et autres
Publié: (2026)

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems
par: Salek, M Sabbir, et autres
Publié: (2025)

Countering Autonomous Cyber Threats
par: Heckel, Kade M., et autres
Publié: (2024)

BinaryShield: Cross-Service Threat Intelligence in LLM Services using Privacy-Preserving Fingerprints
par: Gill, Waris, et autres
Publié: (2025)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
par: Li, Yuexin, et autres
Publié: (2024)

Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
par: Wang, Haoran, et autres
Publié: (2023)

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models
par: Belkhiter, Yannis, et autres
Publié: (2026)