Abstract
Geographical data is under an unsecure environment after released by data owner. The data may be modified in an illegal ways. In this paper, we propose a public watermarking scheme which can verify the integrity of geographical data. The public watermarking scheme contains two algorithms: watermark embedding algorithm and watermark detection algorithm. In the watermark embedding algorithm, a verification vector set is generated based on the dataset, and released to the public. Any end-user can verify the integrity of the dataset by watermark detection algorithm. Experiment results demonstrate that the watermarking scheme has good performance to detection several modifications efficiently, and evaluate the integrity rate at different modification amplitudes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kamel, I.: A schema for protecting the integrity of databases. Computers & Security 28, 698–709 (2009)
Li, Y., Guo, H., Jajodia, S.: Tamper detection and localization for categorical data using fragile watermarks. In: Proceedings of the 4th ACM Workshop on Digital Rights Management (DRM 2004), pp. 73–82. ACM Press, Washington (2004)
Guo, H., Li, Y., Liu, A., Jajodia, S.: A Fragile watermarking scheme for detecting malicious modifications of database relations. Information Sciences 176, 1350–1378 (2006)
Guo, H., Li, Y., Jajodia, S.: Chaining watermarks for detecting malicious modifications to streaming data. Inf. Sci. 177(1), 281–298 (2007)
Niu, X., et al.: GIS Watermarking: Hiding Data in 2D Vector Maps. Studies in Computational Intelligence 58, 123–155 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, Q., Sui, L., Wang, C., Yin, X. (2013). Publicly Verify the Integrity of the Geographical Data Using Public Watermarking Scheme. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_63
Download citation
DOI: https://doi.org/10.1007/978-3-642-45025-9_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
eBook Packages: Computer ScienceComputer Science (R0)