PHISHING URL DETECTION USING DEEP LEARNING

Phishing attacks are among the most common and dangerous cybersecurity threats in today’s digital world, where attackers create fake websites and URLs that closely resemble legitimate ones to steal sensitive user information such as passwords, bank account details, and personal data. Traditional detection methods are often limited because phishing techniques continuously evolve, making it difficult for rule-based systems to detect new and sophisticated attacks. To address this challenge, this project focuses on developing a phishing URL detection system using deep learning techniques.
The main objective of this study is to design and implement a deep learning model capable of accurately classifying URLs as either legitimate or phishing. The system is trained using a dataset containing both safe and malicious URLs. During preprocessing, important features such as URL length, domain structure, special characters, and suspicious keywords are extracted to help the model learn patterns associated with phishing behavior. A neural network-based approach is then applied to improve classification accuracy and automate the detection process.
The proposed system enhances cybersecurity by providing an intelligent and automated solution for identifying malicious URLs in real time. Unlike traditional methods that rely on manually defined rules, deep learning allows the model to learn complex patterns from data, making it more adaptive and efficient in detecting new phishing techniques. The performance of the model is evaluated using standard metrics such as accuracy, precision, recall, and F1-score to ensure reliability and effectiveness. The expected outcome of this project is a robust phishing detection system that can significantly reduce the risk of users accessing harmful websites. This contributes to improved internet safety and helps protect individuals and organizations from cyber threats. The study also demonstrates the importance of artificial intelligence and deep learning in modern cybersecurity applications, highlighting their potential in solving real-world problems in the digital environment. In conclusion, phishing URL detection using deep learning provides a powerful and scalable solution for enhancing online security and preventing cybercrime in an increasingly connected world.