DocumentCode
2755817
Title
DSSS-Based Flow Marking Technique for Invisible Traceback
Author
Yu, Wei ; Fu, Xinwen ; Graham, Steve ; Xuan, Dong ; Zhao, Wei
Author_Institution
Texas A&M Univ., College Station, TX
fYear
2007
fDate
20-23 May 2007
Firstpage
18
Lastpage
32
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.
Keywords
Internet; computer crime; pseudonoise codes; spread spectrum communication; telecommunication security; telecommunication traffic; terrorism; DSSS-based flow marking technique; Internet; anonymous communication system; computer crime; direct sequence spread spectrum; electronic surveillance; invisible traceback; law enforcement agency; network traffic; pseudonoise code; terrorism; Analytical models; Communication system traffic; Frequency domain analysis; Internet; Law enforcement; Modulation coding; Spread spectrum communication; Surveillance; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Security and Privacy, 2007. SP '07. IEEE Symposium on
Conference_Location
Berkeley, CA
ISSN
1081-6011
Print_ISBN
0-7695-2848-1
Type
conf
DOI
10.1109/SP.2007.14
Filename
4223211
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