Selective Encryption Algorithm Using Hybrid Transform for GIS Vector Map

Abstract

Nowadays, geographic information system (GIS) is developed and implemented in many areas. A huge volume of vector map data has been accessed unlawfully by hackers, pirates, or unauthorized users. For this reason, we need the methods that help to protect GIS data for storage, multimedia applications, and transmission. In our paper, a selective encryption method is presented based on vertex randomization and hybrid transform in the GIS vector map. In the proposed algorithm, polylines and polygons are focused as the targets for encryption. Objects are classified in each layer, and all coordinates of the significant objects are encrypted by the key sets generated by using chaotic map before changing them in DWT, DFT domain. Experimental results verify the high efficiency visualization by low complexity, high security performance by random processes.

Trapdoor Digital Shredder: A New Technique for Improved Data Security without Cryptographic Encryption

“…In these days, to protect someone's data is one of fundamental requirements for many information services. So, various techniques have been introduced to protect significant information from adversarial trials throughout all steps of data managements including publication [14], processing of personal data [13,15], and data storing [2,6,10]. However, the security against an adversary who obtain partial stored data in a remote storage was not considered in depth since we can counter the adversary by preventing the adversary from accessing to the target data or by using well-known encryption schemes such as AES [1] to encrypt data as in [2].…”