Phishing havolalarni aniqlash usullari
Kalit so'zlar:
phishing, asosiy domen, subdomen, shubhali so‘zlar, shoshilinch so‘zlar, path traversialAnnotatsiya
Ushbu maqolada phishing (aldov yo‘li bilan foydalanuvchi malumotlarini o‘g’irlash) havolalarni aniqlash usullari keltirib o‘tilgan. Maqolada asosoan inson ishtrokida havolalarni ustiga bosib kirishdan avval uning tuzilishini tahlil qilgan holda hulosa chiqarish usullari keltirib o‘tilgan
Библиографические ссылки
1. Alabdulkreem, E., Alghazzawi, D., & Alsubaie, R. (2023). Detection of phishing websites using URL features and machine learning algorithms. Applied Sciences, 13(5), 2883. https://doi.org/10.3390/app13052883
2. Rao, R. S., & Pais, A. R. (2019). Detection of phishing websites using machine learning algorithms. Procedia Computer Science, 165, 631–641. https://doi.org/10.1016/j.procs.2020.01.057
3. Aleroud, A., & Zhou, L. (2017). Phishing environments, techniques, and countermeasures: A survey. Computers & Security, 68, 160–196. https://doi.org/10.1016/j.cose.2017.04.006
4. Basit, A., Zafar, M., & Javed, M. (2021). A hybrid model for phishing URL detection based on feature selection and ensemble learning. IEEE Access, 9, 106710–106722. https://doi.org/10.1109/ACCESS.2021.3100394
5. Verma, R., & Das, A. (2017). What’s in a URL: Fast feature extraction and malicious URL detection. In Proceedings of the 3rd ACM on International Workshop on Security and Privacy Analytics (pp. 55–63). ACM. https://doi.org/10.1145/3041008.3041010
6. Kopp, C., & Teymorian, A. (2020). Shortened URLs and phishing: A quantitative study of malicious use of URL shortening services. Journal of Information Security and Applications, 54, 102595. https://doi.org/10.1016/j.jisa.2020.102595
7. Patil, A., & Deshmukh, A. (2022). Feature-based detection of phishing websites using natural language processing. International Journal of Information Security Science, 11(2), 45–54.
