Volume 1, Issue 3, July 2013, Pages 144 - 158
On Effectiveness of Hopping-Based Spread Spectrum Techniques for Network Forensic Traceback
- Wei Yu, Xinwen Fu, Erik Blasch, Khanh Pham, Dan Shen, Genshe Chen, Chao Lu
- Corresponding Author
- Wei Yu
Available Online 15 January 2013.
- https://doi.org/10.2991/ijndc.2013.1.3.3How to use a DOI?
- Traceback, Secrecy, Accuracy, Hopping, DSSS, Cyber Situation Awareness
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - 2013/01 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 - https://doi.org/10.2991/ijndc.2013.1.3.3 ID - Yu2013 ER -