利用数据点定位的矢量地理数据数字水印算法

在矢量地理数据遭受数据拼接或数据更新攻击时，由于不含水印数据点过多，目前的鲁棒水印算法检测非常困难。针对这一问题，利用脆弱水印技术，提出一种基于数据点定位的矢量地理数据数字水印算法。在鲁棒水印嵌入的同时，利用矢量地理数据坐标点的特征映射生成脆弱水印信息，并根据精度要求采用量化思想进行水印嵌入，实现对每个数据点的篡改定位，从而排除不含水印数据点的干扰，实现对矢量地理数据版权信息的可靠检测。实验结果表明，提出的算法能够有效抵抗数据拼接和数据更新攻击，减少了不含水印数据对水印检测的干扰，提高了水印检测结果的正确性。

The Digital Watermarking Algorithm for Vector Geographic Data Based on Point Positioning

Because of too many non-watermark data points, current robust watermarking algorithms can hardly detect the watermark in vector geographic data when attacked by joining and updating. Aiming at this issue, we present a digital watermarking algorithm based on point positioning by using fragile watermarking technology. Along with the robust watermark embedding, the fragile watermark which formed by features of vector geographic data coordinates is embedded in the data using the idea of quantization according to accuracy requirements. And the tamper can be enclosed with coordinate for each data point through the fragile watermarking detecting. So we can exclude the interference of non-watermark data points and make the robust watermarking algorithm detect copyright information reliably for vector geographic data. The experiments show that the proposed algorithm can improve the validity of the watermark detection results, for it can resist the attacks of data joining and updating effectively, and exclude the interference of non-watermark data points.