과제정보
이 논문은 서울여자대학교 학술연구비의 지원에 의한 것임 (2024-0112).
참고문헌
- N. Suryavanshi and A. Jain, "A Review of Various Techniques for Detection and Prevention for Phishing Attack," International Journal of Advanced Computer Technology (IJACT), Vol. 4, No. 3, pp. 41-46, 2015.
- Financial Supervisory Service, 2024. Available online: www.fss.or.kr (accessed on 04 April 2024)
- J. Yoon and S. Buu, "Deep Character-level Anomaly Detection based on a Transformer-style Convolutional Autoencoder for Phishing URL Detection," Proceedings of KIIT Conference, pp. 114-118, 2023.
- APWG, 2024. Available online: https://apwg.org/ (accessed on 04 April 2024)
- Police Department, 2024. Available online: www. police.go.kr (accessed on 04 April 2024)
- Y. Huang, Q. Yang, J. Qin, and W. Wen, "Phishing URL Detection via CNN and Attention-Based Hierarchical RNN," IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, pp. 112-119, 2019.
- A. Ali, Q. Jiang, Q. Qu, M. Huang, and J. P. Niyigena, "An effective phishing detection model based on character level convolutional neural network from URL," Electronics, Vol. 9, No. 9, 2020. DOI: 10.3390/electronics9091514
- H. Yuan, Z. Yang, X. Chen, Y. Li, and W. Liu, "URL2Vec: URL modeling with character embeddings for fast and accurate phishing website detection," IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, pp. 265-272, 2018.
- D. G. Kleinbaum and M. Klein, "Logistic Regression: A Self-Learning Text," 2010. DOI: 10.1007/978-1-4419-1742-3
- S. Greco, B. Matarazzo, and R. Slowinski, "Decision Rule Approach," Multiple criteria decision analysis: state of the art surveys, pp. 497-552, 2016.
- D. J. Hand, "Principles of Data Mining," Drug safety, Vol. 30, pp. 621-622, 2007.
- S. J. Rigatti, "Random Forest," Journal of Insurance Medicine, Vol. 47, No. 1, pp. 31-39, 2017. DOI: 10.17849/insm-47-01-31-39.1
- Y. Y. Song and Y. Lu, "Decision tree methods: applications for classification and prediction," Shanghai archives of psychiatry, Vol. 27, No. 2, pp. 130-135, April 2015. DOI: 10.11919/j.issn.1002-0829.215044
- L. Breiman, "Random Forest," Machine learning, Vol. 45, pp. 5-32, October, 2001. DOI: 10.1023/A:1010933404324
- Kaggle, 2024. Available online: https://www.kaggle.com/ (accessed on 04 April 2024)
- J. K. Harris, "Primer on binary logistic regression," Family medicine and community health, Vol. 9, Suppl. 1, 2021. DOI: 10.1136/fmch-2021-001290
- J. L. Grabmeier and L. A. Lambe, "Decision trees for binary classification variables grow equally with the Gini impurity measure and Pearson's chi-square test," International journal of business intelligence and data mining, Vol. 2, No. 2, pp. 213-226, June 2007. DOI: 10.1504/IJBIDM.2007.013938
- S. Sohn, H. Yang, and M. Park, "Analysis of Risk Factors for Youth Population Outflow in Busan Based on Machine Learning," The Journal of the Convergence on Culture Technology (JCCT), Vol. 9, No. 6, pp. 131-136, November 2023, DOI:10.17703/JCCT.2023.9.6.131
- Z. H. Hoo, J. Candlish, and D. Teare, "What is a ROC curve?," Emergency Medicine Journal, Vol. 34, No. 6, pp. 357-359, May 2017