Abstract
There is undoubtedly a groundswell of support for the concept of geographic data sharing with the rapid development and wide-ranging application of geographic information science. However, copyright protection and infringement detection in the process of geographic data sharing has always been an important issue that needs to be addressed urgently. In this paper, we present a novel infringement detection method for GIS vector data to compensate for the shortcomings of vector data digital watermarking technology in infringement detection. The method determines whether infringement exists by the duplication degree between the original data and the vector data to be detected in three features including feature features, included angle features and vertex features which gets by using the spatial information of vector data to perform the feature matching based on GeoJSON format data. The experimental results indicate that the proposed algorithm can effectively resist common geometric attacks, such as interpolation attack, deletion attack, similarity transformation attack, feature order scrambling attack, and feature simplification attack, on vector data, which proves that the proposed algorithm has excellent robustness and meets the requirements of practical application.
Highlights
Geographical data is the symbolic expression of the relationship between various geographical features and phenomena in the earth’s surface space and is an important resource for promoting the national economy and a necessary foundation for earth science research [1]
We propose a novel infringement detection method for GIS vector data based on the GeoJSON format with point coordinates as the manipulation object, which does not adopt the vector data digital watermarking technology but matches the point coordinates which are the smallest constituent unit of the vector data in GeoJSON, and whether there is any infringement is determined according to the duplicated degree of the vector data in order to compensate for the shortages in current vector data digital watermarking research
The relative spatial relationship of each feature in the experimental data does not change, we can know that the included angle features of the data after the attack are consistent with the original data by the value of relationships within 36.552% (RA), which proves that the proposed algorithm has a high accuracy rate for ItShPeRSdeIntte.cJ.tiGoeno-Ionff. s2i0m20i,l9a,rxitFyOtRraPnEEsfRoRrmEVaItEiWon attacks
Summary
Geographical data is the symbolic expression of the relationship between various geographical features and phenomena in the earth’s surface space and is an important resource for promoting the national economy and a necessary foundation for earth science research [1]. The illegal copying and dissemination of geographic data infringes the legitimate rights and interests of data producers, and disrupts the normal order of the industries related to geographic information; the leakage of high-precision geographic data threatens national security [2]. For these reasons, geographic data owners attach great importance to geographic data, and most of them hold a conservative attitude towards geographic data sharing. This forms a contradiction, and the issue of geographic data sharing needs to be resolved as soon as possible
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