Title: Watermarking-based intellectual property protection for sensor streaming data

Authors: Xiangrong Xiao, Xingming Sun, Fan Li, Baowei Wang, Zhihua Xia, Wei Liang

Addresses: School of Computer and Communication, Hunan University, South Road of Lushan Street, Changsha, Hunan, China. ' School of Computer and Communication, Hunan University, South Road of Lushan Street, Changsha, Hunan, China. ' School of Computer Science, Beijing Institute of Technology, South Zhongguancun Street, Beijing, China. ' School of Computer and Communication, Hunan University, South Road of Lushan Street, Changsha, Hunan, China. ' School of Computer and Communication, Hunan University, South Road of Lushan Street, Changsha, Hunan, China. ' School of Computer and Communication, Hunan University, South Road of Lushan Street, Changsha, Hunan, China

Abstract: Watermarking is an efficient solution especially in the application of Intellectual Property (IP) in public security and military area. In this paper, we propose a novel algorithm, named Time Varying Watermarking Algorithm (TVWA), for streaming data copyright protection. By adjusting the sequence of data in every packet and keeping the value of the data unchanged, we embed the watermark into streaming data. We apply TVWA on a prototype system, which is developed with TinyOS motes. The results demonstrate that the proposed algorithm is simple but of great efficiency. We can accurately extract the embedded watermark in the real-time mode. We can also verify the IP of the data by only detecting the segment of data in the off-line mode.

Keywords: WSNs; wireless sensor networks; intellectual property; streaming data; time-varying watermarking; embedded watermarks; watermark extraction; detection; wireless networks; copyright protection; information security; data security.

DOI: 10.1504/IJCAT.2010.036025

International Journal of Computer Applications in Technology, 2010 Vol.39 No.4, pp.213 - 223

Accepted: 03 Jun 2010
Published online: 12 Oct 2010 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article