Results 91 to 100 of about 2,301 (212)

Detection of Phishing Websites using Generative Adversarial Network [PDF]

open access: yes, 2019
Phishing is typically deployed as an attack vector in the initial stages of a hacking endeavour. Due to it low-risk rightreward nature it has seen a widespread adoption, and detecting it has become a challenge in recent times. This paper proposes a novel
Pierrick Robic-Butez   +3 more
core   +1 more source

Phishing – the threat of internet banking

open access: yes, 2013
The attractiveness of Internet banking, the dynamics and the integration with e-business is still growing. The current use of electronic banking is defined by cyberspace and abused in the form of cyber terrorism as well.
Krejčířová, Lívia, Dvořák, Jiří
core  

Detection of Phishing Websites Using Machine Learning

open access: yes
Phishing websites have proven to be a major security concern. Several cyberattacks risk the confidentiality, integrity, and availability of company and consumer data, and phishing is the beginning point for many of them.
Madupu Venkata Vineeth, G.V. Ramana
core   +1 more source

Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques. [PDF]

open access: yesAnn Data Sci, 2022
Das Guptta S   +4 more
europepmc   +1 more source

Website Phishing Detector

open access: yes
Phishing attempts are still one of the most popular techniques to deceive customers and steal personal information, especially with the significant increase in cyberthreats. This project provides a browser extension-based phishing detection solution to increase user security when using the internet. The plugin continuously examines and assesses website
Mrs Varshini J   +4 more
openaire   +1 more source

Phishing Websites Detection Model based on Decision Tree Algorithm and Best Feature Selection Method

open access: yes, 2022
The ongoing progress of network technology has a huge influence on their broad acceptance in many facets of our life in recent time. Phishing websites have suddenly emerged as a major cybersecurity concern.
Dalia Shihab Ahmed, Assist. Prof. Dr. Karim Q. Hussein , Hanan Abed Alwally Abed Allah
core   +1 more source

Enhancing cybersecurity: A review and comparative analysis of convolutional neural network approaches for detecting URL-based phishing attacks

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
Phishing attempts to mimic the official websites of businesses, including banks, e-commerce, government offices, and financial institutions. Phishing websites aim to collect and retrieve sensitive data from users, including passwords, credit card numbers,
Manika Nanda   +2 more
doaj   +1 more source

An Ensemble Machine Learning With Feature Selection Methods for Detecting Phishing Attacks [PDF]

open access: yesIJCI International Journal of Computers and Information
Attacks against the internet have increased due to the development of the internet and its application. Phishing attacks are among internet users' most common threats, Especially during COVID-19 with remote working. Phishing is a security attack in which
Mai Abd Elgaleel   +2 more
doaj   +1 more source

Hybrid Honey Badger Algorithm with Artificial Neural Network (HBA-ANN) for Website Phishing Detection

open access: yesIraqi Journal for Computer Science and Mathematics
 Phishing is a sort of cyberattack that refers to the practice of fabricating fake websites that imitate authentic websites in order to trick users into disclosing private information.
MUHAMMAD ARIF MOHAMAD   +1 more
doaj   +1 more source

RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification

open access: yesIEEE Access
Phishing is a pervasive form of cybercrime where malicious websites deceive users into revealing sensitive information, e.g., passwords and credit card details. Despite advances in cybersecurity, accurately detecting phishing websites remains challenging
Jahanggir Hossain Setu   +3 more
doaj   +1 more source

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