Phishing websites detection by machine learning and deep learning techniques

Yi He

doi:10.1117/12.2644665

10 November 2022 Phishing websites detection by machine learning and deep learning techniques

Yi He

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123012C (2022) https://doi.org/10.1117/12.2644665
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

In this paper, we try to find two methods based on deep learning and machine learning to detect phishing websites from those legal ones. In terms of machine learning models, first, both phishing and benign URLs of websites are gathered from online resources, and required URL features and website content-based features are extracted and selected to form the data set. 5 different training methods are used and analyzed. In terms of deep learning model, a character - embedded Bidirectional LSTM is used for training. And the model is testified then.

Citation Download Citation

Yi He "Phishing websites detection by machine learning and deep learning techniques", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123012C (10 November 2022); https://doi.org/10.1117/12.2644665

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