Large language models for cyber security: A systematic literature review
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
[HTML][HTML] When llms meet cybersecurity: A systematic literature review
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …
various fields, including cybersecurity, which faces an evolving threat landscape and …
Using ai assistants in software development: A qualitative study on security practices and concerns
Following the recent release of AI assistants, such as OpenAI's ChatGPT and GitHub
Copilot, the software industry quickly utilized these tools for software development tasks, eg …
Copilot, the software industry quickly utilized these tools for software development tasks, eg …
[HTML][HTML] Large language models meet next-generation networking technologies: A review
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …
information sharing, and connectivity. Traditional networks, relying on static configurations …
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 …
research fields due to its enhanced capabilities in text generation and user interaction. One …
A security risk taxonomy for large language models
As large language models (LLMs) permeate more and more applications, an assessment of
their associated security risks becomes increasingly necessary. The potential for exploitation …
their associated security risks becomes increasingly necessary. The potential for exploitation …
A security risk taxonomy for prompt-based interaction with large language models
As large language models (LLMs) permeate more and more applications, an assessment of
their associated security risks becomes increasingly necessary. The potential for exploitation …
their associated security risks becomes increasingly necessary. The potential for exploitation …
[HTML][HTML] AttacKG+: Boosting attack graph construction with Large Language Models
Attack graph construction seeks to convert textual cyber threat intelligence (CTI) reports into
structured representations, portraying the evolutionary traces of cyber attacks. Even though …
structured representations, portraying the evolutionary traces of cyber attacks. Even though …
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
The CAGE-2 challenge is considered a standard benchmark to compare methods for
autonomous cyber defense. Current state-of-the-art methods evaluated against this …
autonomous cyber defense. Current state-of-the-art methods evaluated against this …
Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments
Large Language Models (LLMs) have shown remarkable potential across various domains,
including cybersecurity. Using commercial cloud-based LLMs may be undesirable due to …
including cybersecurity. Using commercial cloud-based LLMs may be undesirable due to …