Name
Abstract | ||
|---|---|---|
Spread-spectrum flowwatermarks offer an invisible and ready-to-use flow watermarking scheme that can be employed to stealthily correlate the two ends of a network communication. Such technique has wide applications in network security and privacy. Although several methods have been proposed to detect various flow watermarks, few can effectively detect spread-spectrum flow watermarks. Moreover, there is currently no solution that allows end users to eliminate spread-spectrum flow watermarks from their flows without the support of a separate network element. In this paper, we propose a novel approach to detect spread-spectrum flow watermarks by leveraging their intrinsic features. Contrary to the common belief that Pseudo-Noise (PN) codes can render flow watermarks invisible, we prove that PN codes actually facilitate their detection. Furthermore, we propose a novel method based on TCP's flow-control mechanism that provides end users with the ability to autonomously remove spread-spectrum flow watermarks. We conducted extensive experiments on traffic flowing both through one-hop proxies in the PlanetLab network, and through Tor. The experimental results show that the proposed detection system can achieve up to 100% detection rate with zero false positives, and confirm that our elimination system can effectively remove spread-spectrum flow watermarks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15497-3_15 | ESORICS |
Keywords | Field | DocType |
network communication,proposed detection system,planetlab network,ready-to-use flow,end user,detection rate,network security,separate network element,spread-spectrum flow watermark,various flow watermark,flow control,traffic flow,spread spectrum,false positive,invisible | PlanetLab,Digital watermarking,Computer science,Computer security,Network security,Secrecy,Network congestion,Network element,Spread spectrum,False positive paradox | Conference |
Volume | ISSN | ISBN |
6345 | 0302-9743 | 3-642-15496-4 |
Citations | PageRank | References |
16 | 0.64 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiapu Luo | 1 | 1302 | 110.23 |
| Junjie Zhang | 2 | 849 | 41.61 |
| Roberto Perdisci | 3 | 2137 | 97.99 |
| Wenke Lee | 4 | 9351 | 628.83 |