Intelligent Rule-Based Phishing Websites and Malicious URL Classification Based on URL Features

Abstract

Malicious URLs are one of the biggest threats to this digital world and preventing it is one of the challenging tasks in the domain of cyber security. Previous research to tackle malicious URLs using hard-coded features have proven good indeed, but it comes with the limitation that these features are non-exhaustive and therefore detection algorithms fail to recognize new or unseen malicious URLs. However, with the deep learning revolution, this problem can be easily solved, since deep learning models extract features of their own by learning from patterns occurring in such URLs.In this project, we are proposing rnn and cnn based algorithm which can be effective for classifying URLs as malicious or benign. With the continuous development of Web attacks, many web applications have been suffering from various forms of security threats and cloud computing attacks.