CLETer: A Character-level Evasion Technique Against Deep Learning DGA Classifiers

Liu, Wanping and Zhang, Zhoulan and Huang, Cheng and Fang, Yong (2021) CLETer: A Character-level Evasion Technique Against Deep Learning DGA Classifiers. EAI Endorsed Transactions on Security and Safety.

[thumbnail of 43376.pdf] PDF
43376.pdf

Download (2MB)

Abstract

The detection of pseudo-random domain names generated by Domain Generation Algorithms (DGAs) is one of the effective ways to find botnets. Study on the vulnerability of deep learning models to adversarial attacks can enhance the robustness of DGA detection mechanism. This paper proposes CLETer, an i

Item Type: Article
Date Deposited: 04 Mar 2026 14:08
Last Modified: 11 Apr 2026 18:37
URI: http://eprints.eai.eu/id/eprint/33334

Actions (login required)

View Item
View Item