Next Generation of Phishing Attacks using AI powered Browsers

A Arun, N Abosata - arXiv preprint arXiv:2406.12547, 2024 - arxiv.org
The increase in the number of phishing demands innovative solutions to safeguard users
from phishing attacks. This study explores the development and utilization of a real-time …

[PDF][PDF] An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

AM John-Otumu, M Rahman… - American Journal of …, 2021 - researchgate.net
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

TK Hua, A Macgregor - Authorea Preprints, 2022 - essopenarchive.org
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

Development of anti-phishing browser based on random forest and rule of extraction framework

MG HR, A MV - Cybersecurity, 2020 - Springer
Phishing is a technique under Social Engineering attacks which is most widely used to get
user sensitive information, such as login credentials and credit and debit card information …

Phishing Website Detection using Multilayer Perceptron

BO Emedolu, G Thomas… - International Journal of …, 2023 - ideas.repec.org
Phishing attacks pose a significant threat in the cyber world, exploiting unsuspecting users
through deceptive emails that lead them to malicious websites. To combat this challenge …

Phishing Detection by integrating Machine Learning and Deep Learning

S Sawant, R Savakhande, O Sankhe… - … on Computing for …, 2024 - ieeexplore.ieee.org
Nowadays, where individuals are constantly utilizing the internet, phishing attacks are a
threat to them. In such attacks, individuals' personal information, financial information, etc. is …

PhishNet: A Phishing Website Detection Tool using XGBoost

P Kumar, K Antony, D Banga, A Sohal - arXiv preprint arXiv:2407.04732, 2024 - arxiv.org
PhisNet is a cutting-edge web application designed to detect phishing websites using
advanced machine learning. It aims to help individuals and organizations identify and …

[PDF][PDF] Real-time phishing detection using deep learning methods by extensions

DM Linh, HD Hung, HM Chau, QS Vu… - International Journal of …, 2024 - researchgate.net
Phishing is an attack method that relies on a user's insufficient vigilance and understanding
of the internet. For example, an attacker creates an online transaction website and tricks …

Phishing Site Detection Using Machine Learning

A Chaudhari, A Budhwat, S Chaware… - 2024 15th …, 2024 - ieeexplore.ieee.org
Cybersecurity is greatly threatened by phishing attempts, which are becoming more complex
on a regular basis. This study looks at how well different Machine Learning (ML) and …

An Effective Way to Detect Phishing Website Using Machine Learning

MS Shorab, SA Ritu - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
In today's interconnected digital landscape, phishing represents a significant threat to both
individuals and organizations. Phishers cleverly utilize deceptive techniques to extract …