Volume 1, Issue 3, August 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
Received 15 April 2013, Accepted 28 June 2013, Available Online 1 August 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 - 2013/08 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 -