ForensLink: A Mobile Application for Malicious URL Detection Using the ELECTRA Transformer Model

Abstract

ForensLink is an innovative cybersecurity project designed to detect malicious URLs using advanced artificial intelligence techniques. The project addresses one of the most widespread digital threats: URLs used in phishing attacks, malware delivery, and online fraud. The system is built around the ELECTRA Transformer model to achieve highly accurate URL classification and is integrated into a mobile application supported by a secure backend service, enabling fast and practical real-time URL analysis. What distinguishes this project is its ability to bridge academic research and real-world implementation. Rather than stopping at model evaluation, ForensLink transforms advanced detection capabilities into a usable technical solution suitable for practical deployment. The project also emphasizes security through the design of a protected URL Classifier API featuring input validation, access control, rate limiting, and monitoring mechanisms. Overall, ForensLink reflects a modern cybersecurity approach that combines intelligence, efficiency, and usability to strengthen digital protection for both individuals and organizations.