A survey of intelligent detection designs of HTML URL phishing attacks
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 …
engineering attacks where an attacker deceives users by sending fake messages using …
Malicious URL detection using machine learning: A survey
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 …
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 …
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 …
accurate information such as account IDs, bank details, and passwords. This type of …
A hybrid DNN–LSTM model for detecting phishing URLs
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 …
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
With confusion and uncertainty ruling the world, 2020 created near-perfect conditions for
cybercriminals. As businesses virtually eliminated in-person experiences, the COVID-19 …
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 …
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 …
explore machine learning and deep learning models leveraging large-scale data. We …
Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …
approaches to defend against phishing attacks. Phishing detection solutions often report …
Efficient deep learning techniques for the detection of phishing websites
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 …
sole purpose of gathering sensitive information by masquerading the genuine websites …