LIDAR Image Data Authentication Using Pseudorandom Polygons

The development of effective remote sensing data authentication techniques is of remarkably growing interest. Several existing authentication algorithms have been reported as insecure, yielding inaccurate attack localization, and vulnerable to various attacks, especially the blind pattern matching attack. with insufficient security. In this paper, we propose a new pseudorandomly-shaped polygons based blind watermarking scheme that offers more secure embedding processes of the polygons' signatures and reliable deliberate local alterations detection, and effectively resists the blind pattern matching attack.