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 …

Anti-phishing: A comprehensive perspective

G Varshney, R Kumawat, V Varadharajan… - Expert Systems with …, 2024 - Elsevier
Phishing is a form of deception technique that attackers often use to acquire sensitive
information related to individuals and organizations fraudulently. Although Phishing attacks …

Generating phishing attacks using chatgpt

SS Roy, KV Naragam, S Nilizadeh - arXiv preprint arXiv:2305.05133, 2023 - arxiv.org
The ability of ChatGPT to generate human-like responses and understand context has made
it a popular tool for conversational agents, content creation, data analysis, and research and …

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List

R Liu, Y Lin, X Teoh, G Liu, Z Huang… - 33rd USENIX Security …, 2024 - usenix.org
Phishing, a pervasive form of social engineering attack that compromises user credentials,
has led to significant financial losses and undermined public trust. Modern phishing …

" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences

D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Detecting phishing sites using chatgpt

T Koide, N Fukushi, H Nakano, D Chiba - arXiv preprint arXiv:2306.05816, 2023 - arxiv.org
The rise of large language models (LLMs) has had a significant impact on various domains,
including natural language processing and artificial intelligence. While LLMs such as …

[HTML][HTML] The applicability of a hybrid framework for automated phishing detection

RJ van Geest, G Cascavilla, J Hulstijn, N Zannone - Computers & Security, 2024 - Elsevier
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

Phishing detection leveraging machine learning and deep learning: A review

DM Divakaran, A Oest - IEEE Security & Privacy, 2022 - ieeexplore.ieee.org
Phishing attacks trick victims into disclosing sensitive information. To counter them, we
explore machine learning and deep learning models leveraging large-scale data. We …

A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts

Y Wang, W Ma, H Xu, Y Liu, P Yin - Applied Sciences, 2023 - mdpi.com
Phishing poses a significant threat to the financial and privacy security of internet users and
often serves as the starting point for cyberattacks. Many machine-learning-based methods …

Multimodal large language models for phishing webpage detection and identification

J Lee, P Lim, B Hooi, DM Divakaran - arXiv preprint arXiv:2408.05941, 2024 - arxiv.org
To address the challenging problem of detecting phishing webpages, researchers have
developed numerous solutions, in particular those based on machine learning (ML) …