Results 11 to 20 of about 1,135 (168)

Improving the phishing website detection using empirical analysis of Function Tree and its variants [PDF]

open access: yesHeliyon, 2021
The phishing attack is one of the most complex threats that have put internet users and legitimate web resource owners at risk. The recent rise in the number of phishing attacks has instilled distrust in legitimate internet users, making them feel less ...
Abdullateef O. Balogun   +10 more
doaj   +2 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   +3 more sources

Phishing Website Detection Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning [PDF]

open access: yesSensors, 2021
Phishing has become one of the biggest and most effective cyber threats, causing hundreds of millions of dollars in losses and millions of data breaches every year.
Rundong Yang   +4 more
doaj   +2 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

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   +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   +3 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

Heuristic machine learning approaches for identifying phishing threats across web and email platforms [PDF]

open access: yesFrontiers in Artificial Intelligence
Life has become more comfortable in the era of advanced technology in this cutthroat competitive world. However, there are also emerging harmful technologies that pose a threat.
Ramprasath Jayaprakash   +8 more
doaj   +2 more sources

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