Large language models for blockchain security: A systematic literature review

Z He, Z Li, S Yang, A Qiao, X Zhang, X Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have emerged as powerful tools across various domains
within cyber security. Notably, recent studies are increasingly exploring LLMs applied to the …

A survey of large language models for cyber threat detection

Y Chen, M Cui, D Wang, Y Cao, P Yang, B Jiang… - Computers & …, 2024 - Elsevier
With the increasing complexity of cyber threats and the expanding scope of cyberspace,
there exist progressively more challenges in cyber threat detection. It's proven that most …

[PDF][PDF] An efficient superhypersoft framework for evaluating llms-based secure blockchain platforms

M Mohamed, A Elmor, F Smarandache… - Neutrosophic Sets and …, 2024 - fs.unm.edu
In the age of modern technology, the use of the internet has become imperative. However,
this widespread access presents a double-edged sword and opens doors for hackers and …

Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions

S Javaid, RA Khalil, N Saeed, B He… - arXiv preprint arXiv …, 2024 - arxiv.org
Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated
convergence of diverse communication technologies to ensure seamless connectivity …

Unique security and privacy threats of large language model: A comprehensive survey

S Wang, T Zhu, B Liu, M Ding, X Guo, D Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
With the rapid development of artificial intelligence, large language models (LLMs) have
made remarkable advancements in natural language processing. These models are trained …

Transformers and large language models for efficient intrusion detection systems: A comprehensive survey

H Kheddar - arXiv preprint arXiv:2408.07583, 2024 - arxiv.org
With significant advancements in Transformers LLMs, NLP has extended its reach into many
research fields due to its enhanced capabilities in text generation and user interaction. One …

Towards explainable network intrusion detection using large language models

PRB Houssel, P Singh, S Layeghy… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have revolutionised natural language processing tasks,
particularly as chat agents. However, their applicability to threat detection problems remains …

[HTML][HTML] Network-Based Intrusion Detection for Industrial and Robotics Systems: A Comprehensive Survey

R Holdbrook, O Odeyomi, S Yi, K Roy - Electronics, 2024 - mdpi.com
In the face of rapidly evolving cyber threats, network-based intrusion detection systems
(NIDS) have become critical to the security of industrial and robotic systems. This survey …

Do llms know when to not answer? investigating abstention abilities of large language models

N Madhusudhan, ST Madhusudhan, V Yadav… - arXiv preprint arXiv …, 2024 - arxiv.org
Abstention Ability (AA) is a critical aspect of Large Language Model (LLM) reliability,
referring to an LLM's capability to withhold responses when uncertain or lacking a definitive …

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Z Zhang, F Yang, X Qin, J Zhang, Q Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
The Vision of Autonomic Computing (ACV), proposed over two decades ago, envisions
computing systems that self-manage akin to biological organisms, adapting seamlessly to …