Name
Abstract | ||
|---|---|---|
Law enforcement agencies need the ability to conduct electronic surveillance to combat crime, terrorism, or other malicious activities exploiting the Internet. However, the proliferation of anonymous communication systems on the Internet has posed significant challenges to providing such traceback capability. In this paper, we develop a new class of flow marking technique for invisible traceback based on direct sequence spread spectrum (DSSS), utilizing a pseudo-noise (PN) code. By interfering with a sender's traffic and marginally varying its rate, an investigator can embed a secret spread spectrum signal into the sender's traffic. The embedded signal is carried along with the traffic from the sender to the receiver, so the investigator can recognize the corresponding communication relationship, tracing the messages despite the use of anonymous networks. The secret PN code makes it difficult for others to detect the presence of such embedded signals, so the traceback, while available to investigators is, effectively invisible. We demonstrate a practical flow marking system which requires no training, and can achieve both high detection and low false positive rates. Using a combination of analytical modeling, simulations, and experiments on Tor (a popular Internet anonymous communication system), we demonstrate the effectiveness of the DSSS-basedflow marking technique. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SP.2007.14 | IEEE Symposium on Security and Privacy |
Keywords | Field | DocType |
dsss-based flow,secret pn code,dsss-based flow marking technique,anonymous communication system,network traffic,law enforcement agency,traceback capability,corresponding communication relationship,pseudonoise codes,computer crime,terrorism,practical flow,electronic surveillance,spread spectrum communication,direct sequence spread spectrum,pseudonoise code,popular internet anonymous communication,internet,invisible traceback,telecommunication security,telecommunication traffic,embedded signal,anonymous network,spread spectrum,false positive rate,frequency domain analysis | Pseudorandom noise,Internet privacy,Computer security,Computer science,Communications system,Communication source,Direct-sequence spread spectrum,Law enforcement,Tracing,The Internet,Spread spectrum | Conference |
ISSN | ISBN | Citations |
1081-6011 | 0-7695-2848-1 | 81 |
PageRank | References | Authors |
2.70 | 18 | 5 |