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Phishing detection system through hybrid machine learning based on URL
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
{KnowPhish}: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing {Reference-Based} Phishing Detection
Phishing attacks have inflicted substantial losses on individuals and businesses alike,
necessitating the development of robust and efficient automated phishing detection …
necessitating the development of robust and efficient automated phishing detection …
[HTML][HTML] Novel interpretable and robust web-based AI platform for phishing email detection
Phishing emails continue to pose a significant threat, causing financial losses and security
breaches. This study addresses limitations in existing research, such as reliance on …
breaches. This study addresses limitations in existing research, such as reliance on …
Investigation of phishing susceptibility with explainable artificial intelligence
Phishing attacks represent a significant and growing threat in the digital world, affecting
individuals and organizations globally. Understanding the various factors that influence …
individuals and organizations globally. Understanding the various factors that influence …
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) …
[HTML][HTML] Искусственный интеллект и кибербезопасность
В этой статье мы рассматриваем связь систем искусственного интеллекта и
кибербезопасности. В современной трактовке, системы искусственного интеллекта …
кибербезопасности. В современной трактовке, системы искусственного интеллекта …
" Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
Machine learning based phishing website detectors (ML-PWD) are a critical part of today's
anti-phishing solutions in operation. Unfortunately, ML-PWD are prone to adversarial …
anti-phishing solutions in operation. Unfortunately, ML-PWD are prone to adversarial …
An integrated model based on deep learning classifiers and pre-trained transformer for phishing URL detection
The unique nature of website URLs has made phishing detection a challenging task. Unlike
natural language, URLs have an unstructured nature with non-linear and sophisticated …
natural language, URLs have an unstructured nature with non-linear and sophisticated …
[HTML][HTML] Beyond the west: Revealing and bridging the gap between Western and Chinese phishing website detection
Phishing attacks are on the rise, and phishing websites are everywhere, denoting the
brittleness of security mechanisms reliant on blocklists. To cope with this threat, many works …
brittleness of security mechanisms reliant on blocklists. To cope with this threat, many works …
Attacking logo-based phishing website detectors with adversarial perturbations
Recent times have witnessed the rise of anti-phishing schemes powered by deep learning
(DL). In particular, logo-based phishing detectors rely on DL models from Computer Vision …
(DL). In particular, logo-based phishing detectors rely on DL models from Computer Vision …