Investigating cybersecurity incidents using large language models in latest-generation wireless networks
Fuente:
arXiv
Saved in:
| Main Authors: | Legashev, Leonid, Zhigalov, Arthur |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
by: Legashev, Leonid, et al.
Published: (2025)
by: Legashev, Leonid, et al.
Published: (2025)
Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models
by: Sowka, Kacper, et al.
Published: (2024)
by: Sowka, Kacper, et al.
Published: (2024)
Coherence-driven inference for cybersecurity
by: Huntsman, Steve
Published: (2025)
by: Huntsman, Steve
Published: (2025)
Next-generation cyberattack detection with large language models: anomaly analysis across heterogeneous logs
by: Chagna, Yassine, et al.
Published: (2026)
by: Chagna, Yassine, et al.
Published: (2026)
Naming is framing: How cybersecurity's language problems are repeating in AI governance
by: Potter, Lianne
Published: (2025)
by: Potter, Lianne
Published: (2025)
BadEdit: Backdooring large language models by model editing
by: Li, Yanzhou, et al.
Published: (2024)
by: Li, Yanzhou, et al.
Published: (2024)
Optimizing watermarks for large language models
by: Wouters, Bram
Published: (2023)
by: Wouters, Bram
Published: (2023)
CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models
by: Ghosh, Rikhiya, et al.
Published: (2024)
by: Ghosh, Rikhiya, et al.
Published: (2024)
Exploring the limits of strong membership inference attacks on large language models
by: Hayes, Jamie, et al.
Published: (2025)
by: Hayes, Jamie, et al.
Published: (2025)
Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games
by: Yan, Yikuan, et al.
Published: (2024)
by: Yan, Yikuan, et al.
Published: (2024)
Split-and-Denoise: Protect large language model inference with local differential privacy
by: Mai, Peihua, et al.
Published: (2023)
by: Mai, Peihua, et al.
Published: (2023)
Recursive language models for jailbreak detection: a procedural defense for tool-augmented agents
by: Shavit, Doron
Published: (2026)
by: Shavit, Doron
Published: (2026)
Anomaly detection in network flows using unsupervised online machine learning
by: Miguel-Diez, Alberto, et al.
Published: (2025)
by: Miguel-Diez, Alberto, et al.
Published: (2025)
AI Propaganda factories with language models
by: Olejnik, Lukasz
Published: (2025)
by: Olejnik, Lukasz
Published: (2025)
Attack and defense techniques in large language models: A survey and new perspectives
by: Liao, Zhiyu, et al.
Published: (2025)
by: Liao, Zhiyu, et al.
Published: (2025)
Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)
by: Bensaoud, Ahmed, et al.
Published: (2025)
AI Agent Smart Contract Exploit Generation
by: Gervais, Arthur, et al.
Published: (2025)
by: Gervais, Arthur, et al.
Published: (2025)
Multi-Agent Penetration Testing AI for the Web
by: David, Isaac, et al.
Published: (2025)
by: David, Isaac, et al.
Published: (2025)
Patch2Vuln: Agentic Reconstruction of Vulnerabilities from Linux Distribution Binary Patches
by: David, Isaac, et al.
Published: (2026)
by: David, Isaac, et al.
Published: (2026)
Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications
by: David, Isaac, et al.
Published: (2026)
by: David, Isaac, et al.
Published: (2026)
Measuring Safety Alignment Effects in Autonomous Security Agents
by: David, Isaac, et al.
Published: (2026)
by: David, Isaac, et al.
Published: (2026)
Can a large language model be a gaslighter?
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Detection of ransomware attacks using federated learning based on the CNN model
by: Nguyen, Hong-Nhung, et al.
Published: (2024)
by: Nguyen, Hong-Nhung, et al.
Published: (2024)
Prompt Inject Detection with Generative Explanation as an Investigative Tool
by: Pan, Jonathan, et al.
Published: (2025)
by: Pan, Jonathan, et al.
Published: (2025)
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
by: Ponte, Andrea, et al.
Published: (2024)
by: Ponte, Andrea, et al.
Published: (2024)
Investigating Deep Watermark Security: An Adversarial Transferability Perspective
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
Attacks on the neural network and defense methods
by: Korenev, A., et al.
Published: (2024)
by: Korenev, A., et al.
Published: (2024)
InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance
by: Xu, Rui, et al.
Published: (2024)
by: Xu, Rui, et al.
Published: (2024)
Unveiling Zero-Space Detection: A Novel Framework for Autonomous Ransomware Identification in High-Velocity Environments
by: Svet, Lafedi, et al.
Published: (2025)
by: Svet, Lafedi, et al.
Published: (2025)
Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?
by: Proverbio, Daniele, et al.
Published: (2025)
by: Proverbio, Daniele, et al.
Published: (2025)
Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model
by: Adjewa, Frederic, et al.
Published: (2024)
by: Adjewa, Frederic, et al.
Published: (2024)
Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
by: Li, Xiaofan, et al.
Published: (2025)
by: Li, Xiaofan, et al.
Published: (2025)
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
by: Kharinaev, Artyom, et al.
Published: (2025)
by: Kharinaev, Artyom, et al.
Published: (2025)
LiaisonAgent: An Multi-Agent Framework for Autonomous Risk Investigation and Governance
by: Tang, Chuanming, et al.
Published: (2026)
by: Tang, Chuanming, et al.
Published: (2026)
A Novel Reinforcement Learning Model for Post-Incident Malware Investigations
by: Dunsin, Dipo, et al.
Published: (2024)
by: Dunsin, Dipo, et al.
Published: (2024)
Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw
by: Gruber, Jan, et al.
Published: (2026)
by: Gruber, Jan, et al.
Published: (2026)
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
by: Li, Jie, et al.
Published: (2024)
by: Li, Jie, et al.
Published: (2024)
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
by: Wickramasekara, Akila, et al.
Published: (2024)
by: Wickramasekara, Akila, et al.
Published: (2024)
FBA$^2$D: Frequency-based Black-box Attack for AI-generated Image Detection
by: Chen, Xiaojing, et al.
Published: (2025)
by: Chen, Xiaojing, et al.
Published: (2025)
An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
by: Fard, Hamed, et al.
Published: (2025)
by: Fard, Hamed, et al.
Published: (2025)
Similar Items
-
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
by: Legashev, Leonid, et al.
Published: (2025) -
Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models
by: Sowka, Kacper, et al.
Published: (2024) -
Coherence-driven inference for cybersecurity
by: Huntsman, Steve
Published: (2025) -
Next-generation cyberattack detection with large language models: anomaly analysis across heterogeneous logs
by: Chagna, Yassine, et al.
Published: (2026) -
Naming is framing: How cybersecurity's language problems are repeating in AI governance
by: Potter, Lianne
Published: (2025)