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@article{180544,
        author = {Sujeet Pawar and Shravani Pawar and Siya Patil and Abhishek Sawant and Prof. Suchitra Sonawane},
        title = {Phishing Detection Using Machine Learning, Web Scraping, and Real-Time Alerts},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2348-2354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180544},
        abstract = {Phishing continues to be a major cybersecurity issue, tricking users into giving away sensitive information through fake emails and websites. In this study, we’ve developed a system that uses machine learning, web scraping, and real-time alerts to protect users from phishing attacks. The system includes a browser extension that monitors user activity and checks for phishing attempts using a trained machine learning model. It also uses web scraping to verify website content in real time. Our results show that the system is accurate, fast, and easy to use, making it a practical solution for detecting phishing threats.},
        keywords = {Phishing Detection, Machine Learning, Web Scraping, Real-Time Alerts, Browser Extension, Cybersecurity},
        month = {June},
        }