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A systematic literature review on phishing website detection techniques

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain sensitive information from an internet user. In this Systematic Literature Survey (SLR), different phishing detection approaches, namely Lists Based, Visual ...
Asadullah Safi, Satwinder Singh
doaj   +4 more sources

A State-of-the-Art Review on Phishing Website Detection Techniques [PDF]

open access: yesIEEE Access
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as a primary tool for attackers to deceive users and steal sensitive information.
Wenhao Li   +4 more
doaj   +4 more sources

Phishing Website Detection Using Deep Learning Models

open access: yesIEEE Access
This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ensemble learning, and deep learning algorithms.
Ume Zara   +5 more
doaj   +4 more sources

Learning Model for Phishing Website Detection [PDF]

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2020
Website portal empowered with information technology are of great importance in present scenario. With access to data allaround the world, securing our information becomes an issue of topmost priority.
A. Suryan   +4 more
doaj   +4 more sources

A Survey of Machine Learning-Based Solutions for Phishing Website Detection

open access: yesMachine Learning and Knowledge Extraction, 2021
With the development of the Internet, network security has aroused people’s attention. It can be said that a secure network environment is a basis for the rapid and sound development of the Internet. Phishing is an essential class of cybercriminals which
Lizhen Tang, Qusay H. Mahmoud
doaj   +3 more sources

Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting

open access: yesMathematics, 2021
The continuous development of network technologies plays a major role in increasing the utilization of these technologies in many aspects of our lives, including e-commerce, electronic banking, social media, e-health, and e-learning.
Altyeb Taha
doaj   +3 more sources

Phishing or Not Phishing? A Survey on the Detection of Phishing Websites

open access: yesIEEE Access, 2023
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 successful.
Rasha Zieni   +2 more
doaj   +4 more sources

Evolutionary Algorithm with Deep Auto Encoder Network Based Website Phishing Detection and Classification

open access: yesApplied Sciences, 2022
Website phishing is a cyberattack that targets online users for stealing their sensitive data containing login credential and banking details. The phishing websites appear very similar to their equivalent legitimate websites for attracting a huge amount ...
Hamed Alqahtani   +7 more
doaj   +3 more sources

Particle Swarm Optimization-Based Feature Weighting for Improving Intelligent Phishing Website Detection

open access: yesIEEE Access, 2020
Over the last few years, web phishing attacks have been constantly evolving causing customers to lose trust in e-commerce and online services. Various tools and systems based on a blacklist of phishing websites are applied to detect the phishing websites.
Waleed Ali, Sharaf Malebary
doaj   +3 more sources

Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning

open access: yesIEEE Access, 2019
As a crime of employing technical means to steal sensitive information of users, phishing is currently a critical threat facing the Internet, and losses due to phishing are growing steadily.
Peng Yang, Guangzhen Zhao, Peng Zeng
doaj   +3 more sources

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