caa a22 4500 605447330 CHVBK 20210128100131.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11042-013-1828-7 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1828-7 Selective encryption for gray images based on chaos and DNA complementary rules [Elektronische Daten] [Aqeel ur Rehman, Xiaofeng Liao, Ayesha Kulsoom, Syed Abbas] A new block cipher for gray images is proposed in this paper which fully utilizes whole set of DNA complementary rules dynamically for encoding and decoding each pixel of a block. The most significant (MSB) part of each block is added under DNA addition operation with least significant (LSB) while LSB part itself get encrypted by chaotically selecting different DNA rules for each pixel. The initial condition is calculated from 128-bits external input key and then the said key is modified for each subsequent block of an image. An image is permuted by Piecewise Linear Chaotic Map (PWLCM) while logistic sequence is used for the selection of encoding and decoding rules for each pixel of a block. The simulated experimental results and the security analysis in terms of quantitative and qualitative way show that our cipher can not only achieve good encryption effect to resist the exhaustive and statistical attacks but also is a good candidate for encrypting large sized uncompressed gray images. Springer Science+Business Media New York, 2014 Block image encryption nationallicence Logistic nationallicence PWLCM nationallicence Chaos nationallicence Complementary DNA rules nationallicence ur Rehman Aqeel Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut Liao Xiaofeng Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut Kulsoom Ayesha Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut Abbas Syed Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4655-4677 1380-7501 74:13<4655 2015 74 11042 https://doi.org/10.1007/s11042-013-1828-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1828-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- ur Rehman Aqeel Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Liao Xiaofeng Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Kulsoom Ayesha Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Abbas Syed Department of Computer Science and Engineering, ChongQing University, Chongqing, People's Republic of China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4655-4677 1380-7501 74:13<4655 2015 74 11042