鲁棒性问题：预训练可以提高加密流量分析的性能

IF 8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

IEEE Transactions on Information Forensics and Security Pub Date : 2025-09-24 DOI:10.1109/tifs.2025.3613970

Luming Yang, Lin Liu, Jun-jie Huang, Jiangyong Shi, Shaojing Fu, Yongjun Wang, Jinshu Su

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robustness Matters: Pre-Training can Enhance the Performance of Encrypted Traffic Analysis

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来源期刊

IEEE Transactions on Information Forensics and Security 工程技术-工程：电子与电气

CiteScore

14.40

自引率

7.40%

发文量

234

审稿时长

6.5 months

期刊介绍： The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features