1 publication

  • Published Subscription Original Research

    Ensemble-Based Detection of Phishing URLs Using Machine Learning: A Cybersecurity Approach

    Abstract: Phishing websites are among the most frequently used tactics by cybercriminals to trick people into revealing sensitive information, including usernames, passwords, banking details, and other personal data. As attackers continuously modify website structures and Uniform Resource Locators (URLs), conventional blacklist and signature-based detection techniques often fail to identify newly emerging phishing websites. This research introduces an ensemble machine learning method designed to identify phishing URLs more accurately and consistently. The …

    Published in Journal Of Network security · Vol. 14, Issue 3, 2026 Read article

Read more of it

Subscribe to one journal or build your own list of several. One invoice, one payment, access for a full year.

Subscribe to journals →

Publish your article

Peer-reviewed journals across every subject, with open access options. Send your manuscript to the right editor today.

Publish with us → Calculate your APC
Support