Title :
An image scrambling algorithm using parameter bases M-sequences
Author :
Zhou, Yicong ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA
Abstract :
Image scrambling is a useful approach to secure the image data by transforming the image into an unintelligible format. This paper introduces a new parameter based M-sequence which can be produced by a series of shift registers. In addition, a new image scrambling algorithm based on the parametric M-sequence is presented. The user can change the security keys, r, which indicates the number of shift operations to be implemented, or the distance parameter p, to generate many different M-sequences. This makes the scrambled images difficult to decode thus providing a high level of security protection for the images. The presented algorithm can encrypt the 2-D or 3-D images in one step. It also shows good performance in the image attacks such as filters (data loss) and noise attacks. The algorithm can be applied in the real-time applications since it is a straightforward process and easily implemented.
Keywords :
image registration; image sequences; security of data; M-sequences; distance parameter; filters; image scrambling algorithm; image security protection; Binary sequences; Cryptography; Cybernetics; Data security; Decoding; Information security; Machine learning; Shift registers; Videos; Watermarking; Image scrambling algorithm; parametric M-sequence;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4621047