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Earth Science Informatics

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07.09.2021 | Research Article

Commutative encryption and watermarking based on SVD for secure GIS vector data

verfasst von: Na Ren, Ming Zhao, Changqing Zhu, Xiaohui Sun, Yazhou Zhao

Erschienen in: Earth Science Informatics | Ausgabe 4/2021

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Abstract

Commutative encryption and watermarking (CEW) can provide comprehensive protection for vector data in geographical information system (GIS) by integrating encryption and watermarking. However, the existing CEW methods for image or video are not suitable for GIS vector data. These CEW methods are still unable to ensure independence between encryption and watermarking for GIS vector data. To solve this problem, this paper proposes a new CEW method based on singular value decomposition (SVD) for GIS vector data. Firstly, the characteristics of SVD are analyzed for GIS vector data. Then, the singular values are selected as the feature invariant. The stability and independence of the singular values are used for embedding watermark and the orthogonal invariance of the singular values is used for encryption. The experimental results show that the proposed method can achieve the independent of encryption and watermarking, as well as strong robustness and high security for commutative encryption and watermarking. The partial decryption can also be realized by the proposed method, which can achieve the network security real-time decryption for GIS vector data.

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Titel: Commutative encryption and watermarking based on SVD for secure GIS vector data
verfasst von: Na Ren
Ming Zhao
Changqing Zhu
Xiaohui Sun
Yazhou Zhao
Publikationsdatum: 07.09.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 4/2021
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-021-00684-5

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