Volume 8 Number 10 (Oct. 2013)
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JCP 2013 Vol.8(10): 2682-2688 ISSN: 1796-203X
doi: 10.4304/jcp.8.10.2682-2688

False Data Identification Method Based on Watermarking

Dengyin Zhang, Mingxiang Wan, and Chao Xu
Dengyin Zhang, Mingxiang Wan, and Chao Xu

Abstract—The vulnerability of sensor nodes make the sensor network faces enormous security challenges. Attackers can inject false data to the network by capturing the normal nodes, by which the attackers can not only to mislead the data collection center to make the wrong decisions, but also can run out the energy of the nodes which forwarding the data. In order to cope with false data injection attack, this paper present a false data identification method based on the digital watermarking technology, which authenticate the identity of the data and the node by digital watermarking technology. The simulation results show that this method has well recovery rate of the watermark and data, and has higher false data detection rate.

Index Terms—The vulnerability of sensor nodes make the sensor network faces enormous security challenges. Attackers can inject false data to the network by capturing the normal nodes, by which the attackers can not only to mislead the data collection center to make the wrong decisions, but also can run out the energy of the nodes which forwarding the data. In order to cope with false data injection attack, this paper present a false data identification method based on the digital watermarking technology, which authenticate the identity of the data and the node by digital watermarking technology. The simulation results show that this method has well recovery rate of the watermark and data, and has higher false data detection rate.

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Cite: Dengyin Zhang, Mingxiang Wan, and Chao Xu, " False Data Identification Method Based on Watermarking," Journal of Computers vol. 8, no. 10, pp. 2682-2688, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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