Zérosdetect: Phishing URL Detection with Quantum-Driven Zero-shot Learning

IS Bangroo, R Kumar - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Phishing, a prevalent cyber danger in contemporary times, involves the fraudulent
impersonation of legitimate websites with the intention of deceiving users into divulging …

Detection of malicious URLs using machine learning

N Reyes-Dorta, P Caballero-Gil, C Rosa-Remedios - Wireless Networks, 2024 - Springer
The detection of fraudulent URLs that lead to malicious websites using addresses similar to
those of legitimate websites is a key form of defense against phishing attacks. Currently, in …

Integrating deep learning with first-order logic programmed constraints for zero-day phishing attack detection

SJ Bu, SB Cho - … 2021-2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Considering the fatality of phishing attacks that are emphasized by many organizations, the
inductive learning approach using reported malicious URLs has been verified in the field of …

Exploring GRU-based approaches with attention mechanisms for accurate phishing URL detection

J KS - Intelligent Decision Technologies - content.iospress.com
In the dynamic realm of digital advancements, the persistent menace of phishing attacks
continues to jeopardize the security landscape for both individuals and organizations. As …

Detection of Phishing URLs Using Machine Learning and Deep Learning Models Implementing a URL Feature Extractor

A Mahesh, P Seshadri, S Mishra… - … and Applications of …, 2023 - Wiley Online Library
Phishing is a deceitful process by which an attacker tries to steal sensitive information from a
naïve user. These types of attacks are generally carried out through emails, text messages …

Intelligent Phishing Url Detection: A Solution Based On Deep Learning Framework

MHF Butt, JP Li, T Saboor, M Arslan… - 2021 18th International …, 2021 - ieeexplore.ieee.org
On the Internet, every different day, kinds of attacks are deployed on innocent users. Among
all, phishing is the most severe attack in which users lose their credentials or private …

Building an Effective Classifier for Phishing Web Pages Detection: A Quantum-Inspired Biomimetic Paradigm Suitable for Big Data Analytics of Cyber Attacks

SM Darwish, DA Farhan, AA Elzoghabi - Biomimetics, 2023 - mdpi.com
To combat malicious domains, which serve as a key platform for a wide range of attacks,
domain name service (DNS) data provide rich traces of Internet activities and are a powerful …

Deep character-level anomaly detection based on a convolutional autoencoder for zero-day phishing URL detection

SJ Bu, SB Cho - Electronics, 2021 - mdpi.com
Considering the fatality of phishing attacks, the data-driven approach using massive URL
observations has been verified, especially in the field of cyber security. On the other hand …

Phishnot: A cloud-based machine-learning approach to phishing url detection

MM Alani, H Tawfik - Computer Networks, 2022 - Elsevier
Phishing is constantly growing to be one of the most adopted tools for conducting cyber-
attacks. Recent statistics indicated that 97% of users could not recognize a sophisticated …

Texception: a character/word-level deep learning model for phishing URL detection

F Tajaddodianfar, JW Stokes… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Phishing is the starting point for many cyberattacks that threaten the confidentiality,
availability and integrity of enterprises' and consumers' data. The URL of a web page that …