LAUSR

Information hiding is an essential research topic in the theory of hybrid information security. 2D vector map contains a wealth of hybrid information, which requires verification of authenticity and integrity. This paper proposes a novel hybrid information security scheme for 2D vector map. The features in vector map are first divided into disjoint groups to ensure the accuracy of tamper localization. In order to locate the batch features deletion attack, we design a feature group correlation technique based on vertex insertion. And a fragile watermark is generated by combining with polar coordinate transformation and hash function, which is robust to resist rotation, uniform scaling and translation (RST) operations. And we embed the watermark with an RST invariant watermarking method. We construct two datasets for experimentation and the results compared with previous methods indicate that the proposed scheme has good invisibility and high tampering localization accuracy on the feature addition and deletion attack.