Volume 14, Issue 3 (2026)
Table of contents
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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
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BlockCertify: A Blockchain-Based Certificate Generation and Verification System
Abstract: The proliferation of fraudulent academic and professional credentials has become a critical challenge for educational institutions, employers, and regulatory bodies worldwide. Conventional certificate verification approaches, including paper-based records and centralized digital repositories, remain inherently vulnerable to insider manipulation, unauthorized alteration, and document forgery. These limitations necessitate a fundamentally more secure and trustless verification infrastructure. This paper introduces BlockCertify, a decentralized certificate issuance and verification platform built upon Ethereum blockchain technology. …
Published in Journal Of Network security · Vol. 14, Issue 3, 2026 Read article