Year: 2025
Type: article
Abstract: phishing websites now pose a critical threat to digital infrastructure across industries.They frequently serve as the initial vector for various cyber intrusions that steal, change, or gain access to both customer and company data.This study presents a new way to find phishing websites by combining attribute selection and data point derivation methods with an ensemble-based machine learning algorithm.It does this after looking at all the research that is already out there.The proposed method uses a carefully chosen dataset to build and test ensemble models that can accurately predict phishing activity. I.
Source: IARJSET
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411803010