caa a22 4500 606160280 CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00521-014-1800-0 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1800-0 An efficient chaotic image encryption scheme [Elektronische Daten] [Majid Khan, Tariq Shah] In this communication, we have presented a technique to synthesize resilient nonlinear mechanisms for the construction of substitution box for image encryption that utilizes a multiplicative group of nonzero elements of Galois field of order 256. The proposed nonlinear component assists in transforming the intelligible message or plaintext into an enciphered format by the use of exponential and Tinkerbell chaotic maps. The proposed substitution box is sensitive to the initial conditions provided to the chaotic system, which are subsequently used as parameters in creating an instance. The simulation results show that the use of the proposed substitution box to image encryption scheme provides an efficient and secure way for real-time communications. The Natural Computing Applications Forum, 2014 Substitution box nationallicence Exponential and Tinkerbell chaotic maps nationallicence Chaotic parameter nationallicence Statistical analysis nationallicence Khan Majid Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Islamabad, Pakistan aut Shah Tariq Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan aut Neural Computing and Applications Springer London 26/5(2015-07-01), 1137-1148 0941-0643 26:5<1137 2015 26 521 https://doi.org/10.1007/s00521-014-1800-0 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/s00521-014-1800-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Khan Majid Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Shah Tariq Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/5(2015-07-01), 1137-1148 0941-0643 26:5<1137 2015 26 521