Watermarking geographical data on spatial topological relations

Wang, Chuanjian; Peng, Zhiyong; Peng, Yuwei; Liang, Yu; Wang, Junzhou

doi:10.1007/s11042-010-0536-9

Cited by 37 publications

(27 citation statements)

References 11 publications

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“…The traditional method embed secret information in some locations of vector map: [9][10][11] proposes certain rules, they help to select a set of coordinates of vertices, and editing them by using a certain range of precision; [12,13] modify coefficients in the frequency domain to complete watermarking hiding that is one of the important solution of watermarking algorithm, but the disturb to the vector map content is also existing, the resistance performance to data fitting, interpolation, scaling is poor. In summary, the existing methods of geospatial watermarking can be distributed as follows: algorithm uses DCT, DWT, and DFT domain, the algorithms in spatial domain, and algorithms inherited in 3D watermarking.…”

Section: Related Workmentioning

confidence: 99%

Selective Encryption Algorithm Using Hybrid Transform for GIS Vector Map

2017

J Inf Process Syst

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Nowadays, geographic information system (GIS) is developed and implemented in many areas. A huge volume of vector map data has been accessed unlawfully by hackers, pirates, or unauthorized users. For this reason, we need the methods that help to protect GIS data for storage, multimedia applications, and transmission. In our paper, a selective encryption method is presented based on vertex randomization and hybrid transform in the GIS vector map. In the proposed algorithm, polylines and polygons are focused as the targets for encryption. Objects are classified in each layer, and all coordinates of the significant objects are encrypted by the key sets generated by using chaotic map before changing them in DWT, DFT domain. Experimental results verify the high efficiency visualization by low complexity, high security performance by random processes.

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Section: Related Workmentioning

confidence: 99%

Selective Encryption Algorithm Using Hybrid Transform for GIS Vector Map

2017

J Inf Process Syst

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“…Table 2 outlines the major differences between vector data and image data in the context of digital watermarking applications [84,89,111,169].…”

Section: Gis Vector Data Structurementioning

confidence: 99%

“…A successful attack refers to the success in removing the embedded watermark while preserving the validity of the vector map data [111]. In literature, the attacks can be classified in two categories: (a) geometric attacks [30,170,181], and (b) signal operation attacks [158,169].…”

Section: Robustnessmentioning

confidence: 99%

“…For vector maps, such attacks are virtually reversible transformations of coordinates where almost little or no information would be lost [111]. Signal operation attacks can be simplification, interpolation and reordering operations, or noise addition [158,169] -see Table 10. Simplification, also known as Douglas compression, is the process of removing some vertices.…”

Section: Robustnessmentioning

confidence: 99%

“…The resilience to both geometric and operational attacks is measured by comparing the extracted watermark with the original watermark by using the metrics that are shown in [22,70,112,118,124,152,167,174,192,196,197,211], [43,46,48,69,86,115,130,131,134,177,199,217], [40,74,82,85,113,120,122,127,171,188,190] Noise addition 37 [3,93,101,112,117,165,169,172,180,184,185,203], [10,39,46,…”

Section: Robustnessmentioning

confidence: 99%

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Advancements in GIS map copyright protection schemes - a critical review

Abubahia

Cocea

2016

Multimed Tools Appl

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Dramatic advancements in Geographic Information Systems (GIS) and computer technologies resulted in a wide availability of rich-knowledge GIS digital vector maps that are easily accessible and downloadable through the world wide web. This led to the need of copyright protection systems to protect the rights of the producers of these maps. Unlike the research on copyright protection for raster/image data types, the research for vector map data is less documented. This article surveys and classifies the GIS vector map copyright protection research papers published between 2000 and 2014, towards a thorough understanding of the-state-of-the-art, addressing significant limitations of previous review articles, and outlining effective recommendations for future research directions.

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