This is my final project in the course of Data Science for Cybersecurity. This project requires us to perform the analysis of security-related dataset using artificial intelligence techniques.

The number of malicious websites is increasing. People in Taiwan often receive phishing text messages containing malicious websites. Therefore, the detection of malicious websites is an important task in the cybersecurity field. In this project, I create some features of the URL based on several papers. Then, I use machine learning and deep learning techniques to perform the classification.

Siddhartha, M. (2021) Malicious URLs dataset. Retrieved from https://www.kaggle.com/datasets/sid321axn/malicious-URLs-dataset on May 25, 2022.

1. 施淳譯（2020）。基於類神經網路之釣魚網站辨識系統，國立中興大學資訊管理學系所碩士論文，台灣台中。
2. Ozcan, A., Catal, C., Donmez, E., & Senturk, B. (2021). A hybrid DNN–LSTM model for detecting phishing URLs. Neural Computing & Applications, 1–17.
3. Rasymas, T. & Dovydaitis, L. (2020). Detection of phishing URLs by using deep learning approach and multiple features combinations. Baltic Journal of Modern Computing, 8(3), 471–483.