Encryption Scheme for Remote Sensing Images Based on EZW and Chaos

Remote sensing images are the important data source of geo-information services with larger data volume and extremely stringent space accuracy. Reliable data are the core of current credible geospatial services. Encryption is the basic protection measure to maintain the integrity, confidentiality and privacy of data. The proposed encryption scheme combines EZW and chaos theory to encrypt remote sensing images, avoids the transmission of multi-key and the high frequency of key in traditional block cipher algorithm for geo-information data. The proposed algorithm introduces secured TD-ERCS chaotic model to shuffle important EZW coefficients. The symmetrical scheme takes full advantage of the sensitivity on the initial values to diffuse key, and the difficulties on reconstructing the non-period chaotic sequence to scramble image. Several experimental results on statistical analysis, key sensitivity analysis show that the combined algorithm provides an efficient and secure way for real remote sensing images encryption and transmission.