首页> 美国政府科技报告 >Identification of Low-Latency Obfuscated Traffic Using Multi-Attribute Analysis.

【24h】

Identification of Low-Latency Obfuscated Traffic Using Multi-Attribute Analysis.

机译：利用多属性分析识别低延迟混淆交通。

获取原文

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Dougherty, K. R.;
展开▼
作者单位

展开▼
年度 2017
页码 1-109
总页数 109
原文格式 PDF
正文语种 eng
中图分类
关键词
Low-Latency Obfuscated Traffic; Tor; Onion routing; Obfuscation; Network traffic analysis; Multi-attribute analysis;

机译：低延迟混淆交通; Tor;洋葱路由;混淆;网络流量分析;多属性分析;

相似文献

外文文献
中文文献
专利

1. On the Low-Latency Region of Best-Effort Links for Delay-Sensitive Streaming Traffic [J] . Bellalta Boris IEEE communications letters . 2021,第3期

机译：关于延迟敏感流流量的最佳总产链路的低延迟区域
2. Understanding the Traffic Causality for Low-Latency Human-to-Machine Applications [J] . Lihua Ruan, Maluge Pubuduni Imali Dias, Martin Maier, IEEE Networking Letters . 2019,第3期

机译：了解低延迟人机交互应用的流量因果关系
3. Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification? [J] . Guang Yang, Ming Xiao, H. Vincent Poor Communications, IEEE Transactions on . 2018,第8期

机译：低延迟毫米波通信：流量分散还是网络密集？
4. BitTorrent traffic obfuscation: A chase towards semantic traffic identification [C] . Zink Thomas, Waldvogel Marcel 2012 IEEE 12th International Conference on Peer-to-Peer Computing. . 2012

机译：BitTorrent流量混淆：对语义流量识别的追逐
5. Large-Scale, Low-Latency State Estimation Of Cyberphysical Systems With An Application To Traffic Estimation. [D] . Hunter, Timothy Jason. 2014

机译：网络物理系统的大规模，低延迟状态估计及其在流量估计中的应用。
6. Should I Stay or Should I Go – Cognitive Conflict in Multi-Attribute Signals Probed with East and West German ‘Ampelmännchen’ Traffic Signs [O] . Claudia Peschke, Bettina Olk, Claus C. Hilgetag -1

机译：我应该留下还是应该走–东西方德国Ampelmännchen交通标志探究的多属性信号中的认知冲突
7. Obfuscated Tor Traffic Identification Based on Sliding Window [O] . Wenliang Xu, Futai Zou 2021

机译：基于滑动窗口的麻烦的Tor交通识别

Identification of Low-Latency Obfuscated Traffic Using Multi-Attribute Analysis.

著录项

引文网络

相似文献

相关主题

期刊订阅