Phương pháp mới phát hiện URL lừa đảo sử dụng thuật toán học máy kết hợp


  • Nguyen Manh Thang Academy of Cryptography Techniques
  • Le Quang Anh
  • Hua Song Toan
  • Nguyen Quoc Trung



URL, phishing, SVM, Naive Bayes, machine learning

Tóm tắt

Abstract— The phishing attack is the type of cyberattack that targets people’s trust by masking the malicious intent of the attack as communications from reputable sources. The goal is to steal sensitive data from the victim(s) (banking information, social identification, credentials, etc.) for various purposes (selling for monetary gain, performing identity thief, using as a lever for escalation attack). In 2022, the number of reported phishing attacks will reach a whopping 255 million cases, an increment of 61% compared to 2021. Existing methods of phishing URL detection have limitations. The article proposes a method to increase the accuracy of detecting malicious URL by using machine learning methods Linear Support Vector Classification and multinomial Naive Bayes with voting mechanisms.


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How to Cite

Thang, N. M., Anh, L. Q., Toan, H. S., & Trung, N. Q. (2023). Phương pháp mới phát hiện URL lừa đảo sử dụng thuật toán học máy kết hợp. Journal of Science and Technology on Information Security, 2(19), 15-28.