CN

唐亚哲

  • School/Department: 计算机科学与技术学院
  • Education Level: With Certificate of Graduation for Doctorate Study
  • Gender: Male
  • Degree: Doctor
  • Professional Title: Professor
  • Status: Employed
  • Supervisor of Doctorate Candidates: Yes
  • Supervisor of Master's Candidates: Yes

Papers

Current position: Home > Research > Papers

Detecting DGA-based botnets through effective phonics-based features

Release Time:2025-04-30
Hits:
Date:
2025-04-30
Title of Paper:
Detecting DGA-based botnets through effective phonics-based features
Journal:
Future Generation Computer Systems
Co-author:
Dan Zhao, Hao Li, Xiuwen Sun, Yazhe Tang
Volume:
143
Page Number:
105-117
Translation or Not:
No
Date of Publication:
2023-06-01