Large language models for cyber security: A systematic literature review

HX Xu, SA Wang, N Li, Y Zhao, K Chen, K Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Chen, L Li, H Zhu - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancements in large language models (LLMs) have opened new avenues
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …

Evolutionary Large Language Models for Hardware Security: A Comparative Survey

M Akyash, HM Kamali - arXiv preprint arXiv:2404.16651, 2024 - arxiv.org
Automating hardware (HW) security vulnerability detection and mitigation during the design
phase is imperative for two reasons:(i) It must be before chip fabrication, as post-fabrication …

Empowering Hardware Security with LLM: The Development of a Vulnerable Hardware Database

D Saha, K Yahyaei, SK Saha… - … Security and Trust …, 2024 - ieeexplore.ieee.org
The scarcity of comprehensive databases and bench-marks in hardware design specifically
tailored for security tasks is a significant challenge in the community. Such databases are …

Llm-guided formal verification coupled with mutation testing

M Hassan, S Ahmadi-Pour, K Qayyum… - … , Automation & Test …, 2024 - ieeexplore.ieee.org
The increasing complexity of modern hardware designs poses significant challenges for
design verification, particularly defining and verifying properties and invariants manually …

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

M Hassanin, N Moustafa - arXiv preprint arXiv:2405.14487, 2024 - arxiv.org
The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …

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

MA Ferrag, F Alwahedi, A Battah, B Cherif… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

Evaluating the cybersecurity robustness of commercial llms against adversarial prompts: A promptbench analysis

T Goto, K Ono, A Morita - Authorea Preprints, 2024 - techrxiv.org
This study presents a comprehensive evaluation of the cybersecurity robustness of five
leading Large Language Models (LLMs)-ChatGPT-4, Google Gemini, Anthropic Claude …

LLMs for Hardware Security: Boon or Bane?

R Kande, V Gohil, M DeLorenzo… - 2024 IEEE 42nd …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have emerged as transformative tools within the hardware
design and verification lifecycle, offering numerous capabilities in accelerating design …

SoCureLLM: An LLM-driven Approach for Large-Scale System-on-Chip Security Verification and Policy Generation

S Tarek, D Saha, SK Saha, M Tehranipoor… - Cryptology ePrint …, 2024 - eprint.iacr.org
Contemporary methods for hardware security verification struggle with adaptability,
scalability, and availability due to the increasing complexity of the modern system-on-chips …