Generative ai and large language models for cyber security: All insights you need

MA Ferrag, F Alwahedi, A Battah, B Cherif… - Available at SSRN …, 2024 - papers.ssrn.com
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

[HTML][HTML] A Systematic Review of Deep Learning Techniques for Phishing Email Detection

PH Kyaw, J Gutierrez, A Ghobakhlou - Electronics, 2024 - mdpi.com
The landscape of phishing email threats is continually evolving nowadays, making it
challenging to combat effectively with traditional methods even with carrier-grade spam …

PhishLang: A lightweight, client-side phishing detection framework using MobileBERT for real-time, explainable threat mitigation

SS Roy, S Nilizadeh - arxiv preprint arxiv:2408.05667, 2024 - arxiv.org
In this paper, we introduce PhishLang, an open-source, lightweight language model
specifically designed for phishing website detection through contextual analysis of the …

Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks

Y Usman, A Upadhyay, P Gyawali… - arxiv preprint arxiv …, 2024 - arxiv.org
In an era where digital threats are increasingly sophisticated, the intersection of Artificial
Intelligence and cybersecurity presents both promising defenses and potent dangers. This …

Harnessing LLMs for IoT Malware Detection: A Comparative Analysis of BERT and GPT-2

M Omar, HM Zangana, JN Al-Karaki… - 2024 8th International …, 2024 - ieeexplore.ieee.org
In recent years, the proliferation of Internet of Things (IoT) devices has introduced significant
vulnerabilities in cybersecurity, particularly with the rise of sophisticated malware targeting …

A review of advancements and applications of pre-trained language models in cybersecurity

Z Liu - 2024 12th International Symposium on Digital …, 2024 - ieeexplore.ieee.org
In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …

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 …

[HTML][HTML] From Vulnerability to Defense: The Role of Large Language Models in Enhancing Cybersecurity

W Kasri, Y Himeur, HA Alkhazaleh, S Tarapiah, S Atalla… - Computation, 2025 - mdpi.com
The escalating complexity of cyber threats, coupled with the rapid evolution of digital
landscapes, poses significant challenges to traditional cybersecurity mechanisms. This …

Securing against deception: exploring phishing emails through ChatGPT and sentiment analysis

S Sayyafzadeh, M Weatherspoon… - 2024 IEEE/ACIS 22nd …, 2024 - ieeexplore.ieee.org
The origin of large language models (LLMs) has left an indelible mark on various domains,
most notably in natural language processing and artificial intelligence. While extensive …

Application of AI-based Models for Online Fraud Detection and Analysis

A Papasavva, S Johnson, E Lowther… - arxiv preprint arxiv …, 2024 - arxiv.org
Fraud is a prevalent offence that extends beyond financial loss, causing psychological and
physical harm to victims. The advancements in online communication technologies alowed …