研究论文
PacketMorph: Generation of Recoverable Adversarial Packets Against Encrypted Traffic Classification via Class-Wise Universal Perturbation
Yuanyuan Xu, Yuwei Xu, Yuwei Xu, Yuwei Xu, Yunpeng Bai, Jie Cao, Kehui Song, Guang Cheng
Purple Mountain Laboratories Southeast University Queen's University Nankai University
来源Lecture notes in computer science
年份2026
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
暂无年度引用数据
关键指标
0
被引次数 · OpenAlex
0.00
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 81%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
23
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIInternet Traffic Analysis and Secure E-voting
Adversarial Robustness in Machine Learning · Privacy-Preserving Technologies in Data
参考文献 23
Characterization of Encrypted and VPN Traffic using Time-related Features
被引 1,210Gerard Draper-Gil, Arash Habibi Lashkari, Mohammad Mamun · International Conference on Information Systems Security and Privacy (ICISSP) · 2016
Characterization of Tor Traffic using Time based Features
被引 862Arash Habibi Lashkari, Gerard Draper Gil, Mohammad Mamun · International Conference on Information Systems Security and Privacy (ICISSP) · 2017
Malware traffic classification using convolutional neural network for representation learning
被引 1,174Wei Wang, Ming Zhu, Xuewen Zeng · International Conference on Information Networking · 2017
此处列出前 3 条
引用本文 -
暂无引用本文的记录