Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques
A Kulkarni, V Balachandran… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …
employ various tactics to deceive users into gathering their sensitive information, potentially …
Combining knowledge graphs and large language models
A Kau, X He, A Nambissan, A Astudillo, H Yin… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Natural Language Processing (NLP) has played a significant role in various
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
Multimodal large language models for phishing webpage detection and identification
To address the challenging problem of detecting phishing webpages, researchers have
developed numerous solutions, in particular those based on machine learning (ML) …
developed numerous solutions, in particular those based on machine learning (ML) …
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 …
the fields of data-centric applications. LLMs trained on massive textual datasets showed …
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
Phishing attacks are a major threat to online security, exploiting user vulnerabilities to steal
sensitive information. Various methods have been developed to counteract phishing, each …
sensitive information. Various methods have been developed to counteract phishing, each …
Automated phishing detection using urls and webpages
H Wang, B Hooi - arXiv preprint arXiv:2408.01667, 2024 - arxiv.org
Phishing detection is a critical cybersecurity task that involves the identification and
neutralization of fraudulent attempts to obtain sensitive information, thereby safeguarding …
neutralization of fraudulent attempts to obtain sensitive information, thereby safeguarding …
LLMs for Cyber Security: New Opportunities
DM Divakaran, ST Peddinti - arXiv preprint arXiv:2404.11338, 2024 - arxiv.org
Large language models (LLMs) are a class of powerful and versatile models that are
beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber …
beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber …
[PDF][PDF] The Poorest Man in Babylon: A Longitudinal Study of Cryptocurrency Investment Scams
In September 2024, the US Federal Bureau of Investigation released its Cryptocurrency
Fraud Report 2023, reporting on 69,000 complaints from the public regarding cryptocurrency …
Fraud Report 2023, reporting on 69,000 complaints from the public regarding cryptocurrency …
A State-of-the-art Review on Phishing Website Detection Techniques
W Li, S Manickam, YW Chong, W Leng… - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as
a primary tool for attackers to deceive users and steal sensitive information. The rapid …
a primary tool for attackers to deceive users and steal sensitive information. The rapid …
[HTML][HTML] From Vulnerability to Defense: The Role of Large Language Models in Enhancing Cybersecurity
The escalating complexity of cyber threats, coupled with the rapid evolution of digital
landscapes, poses significant challenges to traditional cybersecurity mechanisms. This …
landscapes, poses significant challenges to traditional cybersecurity mechanisms. This …