International Journal of Networked and Distributed Computing

Volume 1, Issue 3, August 2013, Pages 144 - 158

On Effectiveness of Hopping-Based Spread Spectrum Techniques for Network Forensic Traceback

Authors
Wei Yu, Xinwen Fu, Erik Blasch, Khanh Pham, Dan Shen, Genshe Chen, Chao Lu
Corresponding Author
Wei Yu
Received 15 April 2013, Accepted 28 June 2013, Available Online 1 August 2013.
DOI
10.2991/ijndc.2013.1.3.3How to use a DOI?
Keywords
Traceback, Secrecy, Accuracy, Hopping, DSSS, Cyber Situation Awareness
Abstract

Network-based crime has been increasing in both extent and severity and network-based forensics encapsulates an essential part of legal surveillance. A key network forensics tool is traceback that can be used to identify true sources of suspects. Both accuracy and secrecy are essential attributes of a successful forensic traceback. In this paper, we study a class of hopping-based spread spectrum techniques for forensic traceback, which fully utilize the benefits of the spread spectrum approach and preserves a greater degree of secrecy. Our investigated techniques, including Code Hopping-Direct Sequence Spread Spectrum (CHDSSS), Frequency Hopping-Direct Sequence Spread Spectrum (FH-DSSS), and Time Hopping-Spread Spectrum (TH-DSSS), operate to randomize the effects of marking traffic in both time and frequency domains. Our theoretical analysis, simulations, and real-world experiments validate these DSSS techniques in terms of accuracy and secrecy to benefit network forensics and deter cyber crimes.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
1 - 3
Pages
144 - 158
Publication Date
2013/08/01
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2013.1.3.3How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Wei Yu
AU  - Xinwen Fu
AU  - Erik Blasch
AU  - Khanh Pham
AU  - Dan Shen
AU  - Genshe Chen
AU  - Chao Lu
PY  - 2013
DA  - 2013/08/01
TI  - On Effectiveness of Hopping-Based Spread Spectrum Techniques for Network Forensic Traceback
JO  - International Journal of Networked and Distributed Computing
SP  - 144
EP  - 158
VL  - 1
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2013.1.3.3
DO  - 10.2991/ijndc.2013.1.3.3
ID  - Yu2013
ER  -