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题名Blind detection of spread spectrum flow watermarks
作者
发表日期2009
会议名称28th Conference on Computer Communications, IEEE INFOCOM 2009
会议录名称Proceedings - IEEE INFOCOM
ISBN978-1-4244-3512-8
ISSN0743-166X
页码2195-2203
会议日期APR 19-25, 2009
会议地点Rio de Janeiro, Brazil
摘要

Recently, the direct sequence spread-spectrum (DSSS)-based technique has been proposed to trace anonymous network flows. In this technique, homogeneous pseudo-noise (PN) codes are used to modulate multiple-bit signals that are embedded into the target flow as watermarks. This technique could be maliciously used to degrade an anonymous communication network. In this paper, we propose a simple single flow-based scheme to detect the existence of these watermarks. Our investigation shows that even if we have no knowledge of the applied PN code, we are still able to detect malicious DSSS watermarks via mean-square autocorrelation (MSAC) of a single modulated flow's traffic rate time series. MSAC shows periodic peaks due to self-similarity in the modulated traffic caused by homogeneous PN codes that are used in modulating multiple-bit signals. Our scheme has low complexity and does not require any PN-code synchronization. We evaluate this detection scheme's effectiveness via simulations and real-world experiments on Tor. Our results demonstrate a high detection rate with a low false positive rate. Our scheme is more flexible and accurate than an existing multi-flow-based approach in DSSS watermark detection. © 2009 IEEE.

DOI10.1109/INFCOM.2009.5062144
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000275366201044
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4542
专题个人在本单位外知识产出
作者单位
1.City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China
2.Southeast University, Nanjing 210096, China
3.University of Massachusetts, Lowell, MA 01854, United States
4.Ohio-State University, Columbus, OH 43210, United States
5.Cisco Systems, Inc., TX 75082, United States
推荐引用方式
GB/T 7714
Jia, Weijia,Tso, Fung Po,Ling, Zhenet al. Blind detection of spread spectrum flow watermarks[C], 2009: 2195-2203.
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