Detection of phishing websites using Machine Learning

Impact of the Phishing Website Detection System The proposed system offers an effective and automated solution for identifying phishing websites, significantly reducing the risk of cyber fraud and credential theft. The integration of machine learning ensures adaptability to evolving phishing techniques. High System Reliability Comprehensive testing confirms the system’s ability to consistently detect phishing websites with high accuracy while maintaining fast response times suitable for real-time use. Scalable System Architecture The modular and scalable architecture supports large datasets and concurrent users without compromising performance, making it suitable for enterprise-level deployment. Future Enhancements   Planned improvements include: •  Deep learning-based phishing content analysis •  Real-time web traffic monitoring •  Integration with browser and email security platforms •  Continuous model retraining using live phishing data •  Multilingual phishing detection support

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