A New Declassification Method for Vector Geographic Data

Yuxuan Wang, Haowen Yan, Liming Zhang
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Abstract

With the acceleration of urbanization, society has entered an era of data explosion. It is difficult to balance confidentiality and sharing in the application of vector geographic data. Based on this, this paper proposes a method for declassifying vector geographic data which balances confidentiality and sharing. Firstly, a declassification model is constructed to ensure the sharing of vector geographic data, in other words, the declassification of classified data. Secondly, digital fingerprint technology is used to enable copyright protection of declassified data. Finally, verify whether the proposed method can give consideration to both confidentiality and sharing after declassifying vector geographic data. The experiments show: The proposed method can declassify the geometric precision of vector geographic data, and the declassified data can maintain a good graphical form and spatial relationship with good usability. And a reference for the balance between confidentiality and sharing is provided, which safeguards the safe use of vector geographic data in the urbanization process.
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一种新的矢量地理数据解密方法
随着城市化进程的加快,社会进入了数据爆炸时代。在矢量地理数据的应用中,难以平衡保密性和共享性。在此基础上,提出了一种平衡保密性和共享性的矢量地理数据解密方法。首先,构建矢量地理数据的解密模型,实现矢量地理数据的共享,即分类数据的解密。其次,采用数字指纹技术对解密数据进行版权保护。最后验证该方法在对矢量地理数据进行解密后,是否能够兼顾保密性和共享性。实验表明:该方法能够对矢量地理数据的几何精度进行解密,并且解密后的数据能够保持良好的图形形式和空间关系,具有良好的可用性。为实现矢量地理数据的保密性和共享性之间的平衡提供参考,为矢量地理数据在城市化进程中的安全使用提供保障。
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