Perceptual encryption method for vector map based on geometric transformations
Pham Ngoc Giao, Oh-Jun Kwon, Suk‐Hwan Lee, Ki‐Ryong Kwon · 2016
Currently, there are many applications used vector map data widely. But the production of vector map consumes a lot of money and human resource while vector map data is bought by any user or attacked by pirates, and then they distributed vector map data easily without permission from providers. So, provider desires a method to encrypt vector map data before storing and transmitting to ensure the access control and prevent illegal copying of it. This paper presents a perceptual encryption method for vector map data based on encrypting geometric objects in the frequency domain of discrete cosine transform. Geometric objects in vector map are changed by geometric transformations. After that, they are encrypted selectivity in the frequency domain of discrete cosine transform to obtain encrypted objects. In experiments, vector map data is changed entirely after encryption process, and the proposed method is very effective for a large of vector map datasets.