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@article{178499,
        author = {Vaishnavi Ramkumar and Supriya Dhebe and Harshita Patil and Sujata Kullur},
        title = {WebArmor Extension: One-Stop Solution to Secure Net Surfing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4457-4461},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178499},
        abstract = {Ensuring a secure browsing experience has become essential due to the increase in sophisticated cyber threats. By combining several security features, such as phishing detection, malware scanning for downloaded files, ad and tracker blocking, content filtering for explicit material, and keylogger detection, WebArmour is a complete browser extension that improves online safety. To precisely identify malicious websites, the extension uses a hybrid phishing detection system that combines structured analysis and unstructured analysis using machine learning. Furthermore, WebArmour uses structural and behavioral characteristics to check downloaded files for malware, blocks trackers and intrusive ads to enhance user privacy, and stops keyloggers from obtaining private data. WebArmour seeks to give users a comprehensive solution for safer browsing by combining these security features into a single, lightweight extension. This document outlines the architecture, methodologies, and implementation details of WebArmour, evaluates its effectiveness against existing security solutions, and discusses potential enhancements for future development.},
        keywords = {Browser Security, Phishing Detection, Malware Scanning, Ad Blocking, Tracker Blocking, Keylogger Detection, Web Privacy, Content Filtering, Cybersecurity, Web Threats, Ma- chine Learning in Security.},
        month = {May},
        }