A survey of intelligent detection designs of HTML URL phishing attacks

S Asiri, Y Xiao, S Alzahrani, S Li, T Li - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social
engineering attacks where an attacker deceives users by sending fake messages using …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Web content filtering through knowledge distillation of large language models

T Vörös, SP Bergeron, K Berlin - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We introduce a state-of-the-art approach for URL categorization that leverages the power of
Large Language Models (LLMs) to address the primary objectives of web content filtering …

An effective phishing detection model based on character level convolutional neural network from URL

A Aljofey, Q Jiang, Q Qu, M Huang, JP Niyigena - Electronics, 2020 - mdpi.com
Phishing is the easiest way to use cybercrime with the aim of enticing people to give
accurate information such as account IDs, bank details, and passwords. This type of …

A hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …

[HTML][HTML] Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system

SR Zahra, MA Chishti, AI Baba, F Wu - Egyptian Informatics Journal, 2022 - Elsevier
With confusion and uncertainty ruling the world, 2020 created near-perfect conditions for
cybercriminals. As businesses virtually eliminated in-person experiences, the COVID-19 …

Phishing or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

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 …

Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages

Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan… - 30th USENIX Security …, 2021 - usenix.org
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …

Efficient deep learning techniques for the detection of phishing websites

M Somesha, AR Pais, RS Rao, VS Rathour - Sādhanā, 2020 - Springer
Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …