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Generative Ai and Large Language Models for Cyber Security: All Insights You Need

https://doi.org/10.2139/ssrn.4853709
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inferred← citeshttps://doi.org/10.1007/978-3-031-81322-1_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-82362-6_15openalex-snapshot
A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution
inferred← citeshttps://doi.org/10.1007/978-3-031-92372-2_4openalex-snapshot
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
inferred← citeshttps://doi.org/10.1007/978-3-032-00627-1_17openalex-snapshot
Large Language Models Are Unreliable for Cyber Threat Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-032-06155-3_5openalex-snapshot
Parameter-Efficient Fine-Tuning of LLMs for Intrusion Detection and Firewall Rule Generation: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-3-032-20729-6_1openalex-snapshot
Evaluating LLM Adaptation Techniques for Cybersecurity Vulnerability Detection: A Comparative Review of Retrieval-Augmented Generation and Fine-Tuning
inferred← citeshttps://doi.org/10.1007/978-3-032-32732-1_9openalex-snapshot
Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs Via a Structured Prompt Framework
inferred← citeshttps://doi.org/10.1007/978-981-95-4677-0_2openalex-snapshot
Large Language Model-Enhanced Malware Dynamic Detection Method
inferred← citeshttps://doi.org/10.1007/978-981-96-1624-4_12openalex-snapshot
ChatDEOB: An Effective Deobfuscation Method Based on Large Language Model
inferred← citeshttps://doi.org/10.1007/978-981-96-8295-9_1openalex-snapshot
Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions
inferred← citeshttps://doi.org/10.1007/s10207-026-01321-2openalex-snapshot
From static tasks to dynamic reasoning: a characterization framework and study of large language models in next-generation cybersecurity automation
inferred← citeshttps://doi.org/10.1007/s10462-025-11338-zopenalex-snapshot
Generative AI for cyber threat intelligence: applications, challenges, and analysis of real-world case studies
inferred← citeshttps://doi.org/10.1007/s10844-025-00964-2openalex-snapshot
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems
inferred← citeshttps://doi.org/10.1007/s11227-025-08129-2openalex-snapshot
L2DAPT – LLMs and Linux: decoding advanced persistent threats
inferred← citeshttps://doi.org/10.1007/s12243-025-01134-9openalex-snapshot
Large language models: applications, limitations, challenges, and recommendations in cybersecurity, digital forensics, and ethical hacking
inferred← citeshttps://doi.org/10.1007/s42452-026-08486-4openalex-snapshot
Neurodynamics-inspired dynamic malware detection framework with synergistic small-sample adaptation and robust defense
inferred← citeshttps://doi.org/10.1007/s43926-025-00202-9openalex-snapshot
Phishing detection in IoT: an integrated CNN-LSTM framework with explainable AI and LLM-enhanced analysis
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112663openalex-snapshot
Large language models for cyber resilience: A comprehensive review, challenges, and future perspectives
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111343openalex-snapshot
Generative Agent-Based Modeling with Large Language Models for insider threat detection
inferred← citeshttps://doi.org/10.1016/j.future.2025.108243openalex-snapshot
A comparative benchmark study of LLM-based threat elicitation tools
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103347openalex-snapshot
Transformers and large language models for efficient intrusion detection systems: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.procs.2025.08.292openalex-snapshot
Simulation of prompt injection attacks on generative pre-trained transformers models
inferred← citeshttps://doi.org/10.1016/j.vehcom.2026.101023openalex-snapshot
Secure UAV-AV communications architecture in non-terrestrial networks: A review
inferred← citeshttps://doi.org/10.1080/1369118x.2025.2492573openalex-snapshot
Exploring factors and features impacting data privacy and utility trade-offs in IoT-based healthcare systems: a systematic literature review
inferred← citeshttps://doi.org/10.1109/access.2024.3439363openalex-snapshot
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315267openalex-snapshot
MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825656openalex-snapshot
Gen-AI for User Safety: A Survey
inferred← citeshttps://doi.org/10.1109/bigdatasecurity69476.2026.00009openalex-snapshot
A Four-Axis Systematization of AI and Cybersecurity in the Era of Large Language Models
inferred← citeshttps://doi.org/10.1109/ciot63799.2024.10756998openalex-snapshot
Machine Learning and Large Language Models-based Techniques for Cyber Threat Detection: A Comparative Study
inferred← citeshttps://doi.org/10.1109/cns62487.2024.10735536openalex-snapshot
CrossAlert: Enhancing Multi-Stage Attack Detection through Semantic Embedding of Alerts Across Targeted Domains
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11432499openalex-snapshot
Enhancing 6G Network Resilience through HORSE’s LLM Agent-Based Security Mechanisms
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889735openalex-snapshot
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438814openalex-snapshot
Hybrid LLM-Vision Pipeline for Detection of Malicious QR Codes in Social Engineering Attacks
inferred← citeshttps://doi.org/10.1109/iciss71466.2026.11715220openalex-snapshot
LLM Comparison For Phishing Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icmlcn64995.2025.11140090openalex-snapshot
Sec-Llama: a Compact Fine-Tuned LLM for Network Intrusion Detection in Kubernetes Clusters
inferred← citeshttps://doi.org/10.1109/isctis65944.2025.11065696openalex-snapshot
Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models
inferred← citeshttps://doi.org/10.1109/itnac66378.2025.11302633openalex-snapshot
A Review of the Use of Large Language Models to Generate Synthetic Cybersecurity Datasets
inferred← citeshttps://doi.org/10.1109/tnse.2025.3629983openalex-snapshot
AI-on-RAN for Cyber Defense: An XAI-LLM Framework for Interpretable Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3543022openalex-snapshot
Mapping the Landscape of Generative AI in Network Monitoring and Management
inferred← citeshttps://doi.org/10.1145/3832783.3834495openalex-snapshot
CADscanner: Automating Malware Analysis for Compiled AutoCAD Scripts in Engineering Environments
inferred← citeshttps://doi.org/10.1177/18758967261488202openalex-snapshot
A multi-agent RAG framework for telecom cybersecurity: Multi-generational threat intelligence and SOC assistance
inferred← citeshttps://doi.org/10.1186/s42400-025-00361-wopenalex-snapshot
When LLMs meet cybersecurity: a systematic literature review
inferred← citeshttps://doi.org/10.1371/journal.pone.0349607openalex-snapshot
Advanced persistent threat detection through multi-modal behavioral analysis
inferred← citeshttps://doi.org/10.2174/9789815324693125040004openalex-snapshot
Harnessing Generative AI for Enhanced Programming and Wireless Sensor Networks: Benefits, Limitations, and Applications
inferred← citeshttps://doi.org/10.23919/cycon65856.2025.11103720openalex-snapshot
Next Steps in Cyber Blue Team Automation—Leveraging the Power of LLMs
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1703586openalex-snapshot
Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?
inferred← citeshttps://doi.org/10.3389/fenrg.2025.1531655openalex-snapshot
Exploring the emerging role of large language models in smart grid cybersecurity: a survey of attacks, detection mechanisms, and mitigation strategies
inferred← citeshttps://doi.org/10.3390/ai6090216openalex-snapshot
Large Language Models in Cybersecurity: A Survey of Applications, Vulnerabilities, and Defense Techniques
inferred← citeshttps://doi.org/10.3390/app15031666openalex-snapshot
Leveraging Large Language Models for Enhancing Safety in Maritime Operations
inferred← citeshttps://doi.org/10.3390/computers14020067openalex-snapshot
Advancing Cyber Incident Timeline Analysis Through Retrieval-Augmented Generation and Large Language Models
inferred← citeshttps://doi.org/10.3390/electronics14071289openalex-snapshot
ATIRS: Towards Adaptive Threat Analysis with Intelligent Log Summarization and Response Recommendation
inferred← citeshttps://doi.org/10.3390/fi17050207openalex-snapshot
Classification of Hacker’s Posts Based on Zero-Shot, Few-Shot, and Fine-Tuned LLMs in Environments with Constrained Resources
inferred← citeshttps://doi.org/10.3390/info17040370openalex-snapshot
MACD: Multi-Agent Collaborative Approach for Cybersecurity Defense Strategy Generation
inferred← citeshttps://doi.org/10.3390/info17080790openalex-snapshot
The Grounded-but-Wrong Gap in Cybersecurity RAG: Evidence from a Bilingual Benchmark and Multi-Judge Evaluation
inferred← citeshttps://doi.org/10.3390/jcp4040040openalex-snapshot
A Comprehensive Review and Assessment of Cybersecurity Vulnerability Detection Methodologies
inferred← citeshttps://doi.org/10.3390/s25030870openalex-snapshot
Enhancing Security Operations Center: Wazuh Security Event Response with Retrieval-Augmented-Generation-Driven Copilot
inferred← citeshttps://doi.org/10.3390/sym17040496openalex-snapshot
Enhancing Cryptocurrency Security: Leveraging Embeddings and Large Language Models for Creating Cryptocurrency Security Expert Systems
inferred← citeshttps://doi.org/10.4018/979-8-3373-1102-9.ch007openalex-snapshot
Applications of LLMs in Quantum-Aware Cybersecurity Leveraging LLMs for Real-Time Anomaly Detection and Threat Intelligence
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch001openalex-snapshot
Foundations of Deep Learning and Large Language Models in Cybersecurity
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch003openalex-snapshot
Threat Detection and Anomaly Identification Using Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch005openalex-snapshot
Phishing and Social Engineering Attack Prevention With LLMs
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch006openalex-snapshot
Malware Analysis and Classification Using Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch007openalex-snapshot
AI Automated Incident Response and Threat Mitigation Using AI
inferred← citeshttps://doi.org/10.4018/979-8-3373-3296-3.ch009openalex-snapshot
Secure Authentication and Identity Management With AI
inferred← citeshttps://doi.org/10.4018/979-8-3373-6536-7.ch003openalex-snapshot
Machine Learning Algorithms for Threat Detection and Evidence Analysis
inferred← citeshttps://doi.org/10.4018/979-8-3373-6536-7.ch006openalex-snapshot
Deep Learning in Malware Classification and Behavior Analysis
inferred← citeshttps://doi.org/10.4018/979-8-3373-6536-7.ch010openalex-snapshot
The Future of Autonomous Forensic Agents and AI-Augmented Investigators
inferred← citeshttps://doi.org/10.4018/979-8-3373-7133-7.ch001openalex-snapshot
Adversarial Threats and Vulnerabilities in Large Language Models
inferred← citeshttps://doi.org/10.4018/979-8-3373-7133-7.ch004openalex-snapshot
Misuse of LLMs in Cybercrime and Countermeasures
inferred← citeshttps://doi.org/10.4018/979-8-3373-7133-7.ch007openalex-snapshot
Trustworthy and Explainable LLM Security Frameworks
inferred← citeshttps://doi.org/10.56741/jnest.v4i02.952openalex-snapshot
LLMs Solution to Fake News, Disinformation, and Hoaxes: Llama 3 [70B]-based Hoax Detection and Counteraction System
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