Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
Fuente:
arXiv
Saved in:
| Main Authors: | Ferrag, Mohamed Amine, Alwahedi, Fatima, Battah, Ammar, Cherif, Bilel, Mechri, Abdechakour, Tihanyi, Norbert, Bisztray, Tamas, Debbah, Merouane |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024)
by: Tihanyi, Norbert, et al.
Published: (2024)
The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
by: Tihanyi, Norbert, et al.
Published: (2025)
by: Tihanyi, Norbert, et al.
Published: (2025)
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models
by: Tihanyi, Norbert, et al.
Published: (2024)
by: Tihanyi, Norbert, et al.
Published: (2024)
From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
by: Tihanyi, Norbert, et al.
Published: (2025)
by: Tihanyi, Norbert, et al.
Published: (2025)
DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
by: Cherif, Bilel, et al.
Published: (2025)
by: Cherif, Bilel, et al.
Published: (2025)
Reasoning Beyond Limits: Advances and Open Problems for LLMs
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
$α^3$-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
by: Jain, Ridhi, et al.
Published: (2024)
by: Jain, Ridhi, et al.
Published: (2024)
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)
by: Dubniczky, Richard A., et al.
Published: (2025)
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution
by: Bisztray, Tamas, et al.
Published: (2025)
by: Bisztray, Tamas, et al.
Published: (2025)
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
by: Dubniczky, Richard A., et al.
Published: (2025)
by: Dubniczky, Richard A., et al.
Published: (2025)
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
by: Tihanyi, Norbert, et al.
Published: (2023)
by: Tihanyi, Norbert, et al.
Published: (2023)
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
by: Ferrag, Mohamed Amine, et al.
Published: (2025)
6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
How Small Can 6G Reason? Scaling Tiny Language Models for AI-Native Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
$α^3$-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
by: Ferrag, Mohamed Amine, et al.
Published: (2026)
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence
by: Tihanyi, Norbert, et al.
Published: (2024)
by: Tihanyi, Norbert, et al.
Published: (2024)
LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
by: Lakas, Abderrahmane, et al.
Published: (2026)
by: Lakas, Abderrahmane, et al.
Published: (2026)
The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
by: Toth, Rebeka, et al.
Published: (2025)
by: Toth, Rebeka, et al.
Published: (2025)
Real-time Threat Detection Strategies for Resource-constrained Devices
by: Hamidouche, Mounia, et al.
Published: (2024)
by: Hamidouche, Mounia, et al.
Published: (2024)
GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)
Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
by: Keltek, Mete, et al.
Published: (2024)
by: Keltek, Mete, et al.
Published: (2024)
Innovating Augmented Reality Security: Recent E2E Encryption Approaches
by: Alsop, Hamish, et al.
Published: (2025)
by: Alsop, Hamish, et al.
Published: (2025)
Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities
by: Yigit, Yagmur, et al.
Published: (2024)
by: Yigit, Yagmur, et al.
Published: (2024)
Reliability and Resilience of AI-Driven Critical Network Infrastructure under Cyber-Physical Threats
by: Lizos, Konstantinos A., et al.
Published: (2025)
by: Lizos, Konstantinos A., et al.
Published: (2025)
Navigating Cybersecurity Training: A Comprehensive Review
by: Qawasmeh, Saif Al-Dean, et al.
Published: (2024)
by: Qawasmeh, Saif Al-Dean, et al.
Published: (2024)
Blockchains for Internet of Things: Fundamentals, Applications, and Challenges
by: Wu, Yusen, et al.
Published: (2024)
by: Wu, Yusen, et al.
Published: (2024)
Maritime Cybersecurity: A Comprehensive Review
by: Li, Meixuan, et al.
Published: (2024)
by: Li, Meixuan, et al.
Published: (2024)
Review of Generative AI Methods in Cybersecurity
by: Yigit, Yagmur, et al.
Published: (2024)
by: Yigit, Yagmur, et al.
Published: (2024)
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
by: Mia, Maraz, et al.
Published: (2025)
by: Mia, Maraz, et al.
Published: (2025)
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
by: Jaffal, Niveen O., et al.
Published: (2025)
by: Jaffal, Niveen O., et al.
Published: (2025)
Sustaining Cyber Awareness: The Long-Term Impact of Continuous Phishing Training and Emotional Triggers
by: Toth, Rebeka, et al.
Published: (2025)
by: Toth, Rebeka, et al.
Published: (2025)
Improving Discovery of Known Software Vulnerability For Enhanced Cybersecurity
by: Sawant, Devesh, et al.
Published: (2024)
by: Sawant, Devesh, et al.
Published: (2024)
Similar Items
-
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023) -
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024) -
The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
by: Tihanyi, Norbert, et al.
Published: (2025) -
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
by: Ferrag, Mohamed Amine, et al.
Published: (2025) -
How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models
by: Tihanyi, Norbert, et al.
Published: (2024)