Zero Watermarking Algorithm for Vector Geographic Data Based on the Number of Neighboring Features

Zero watermarking is an important part of copyright protection vector geographic data. However, how to improve the robustness zero still a critical challenge, especially in resisting attacks with significant distortion. We proposed method for data based on number neighboring features. The makes full use spatial characteristics data, including topological and statistical characteristics. First, first-order features (NFNF) second-order (NSNF) every feature are counted. Then, watermark bit determined by NFNF value, index NSNF value. Finally, combine bits indices construct watermark. Experiments verify theoretical achievements good this method. Simulation results also demonstrate that normalized coefficient always kept at 1.00 under distort significantly, which has superior performance comparison other methods.