Hardware stream cipher with controllable chaos generator for colour image encryption

Abstract

This study presents hardware realisation of chaos-based stream cipher utilised for image encryption applications. A third-order chaotic system with signum non-linearity is implemented and a new post processing technique is proposed to eliminate the bias from the original chaotic sequence. The proposed stream cipher utilises the processed chaotic output to mask and diffuse input pixels through several stages of XORing and bit permutations. The performance of the cipher is tested with several input images and compared with previously reported systems showing superior security and higher hardware efficiency. The system is experimentally verified on XilinxVirtex 4 field programmable gate array (FPGA) achieving small area utilisation and a throughput of 3.62 Gb/s.

Design and Test of Pseudorandom Number Generator Using a Star Network of Lorenz Oscillators

“…Chaos-based cryptography has been extensively studied by many authors. Topics in this field include chaotic synchronization , chaos shift keying [Dedieu et al, 1993], chaos control [Hayes et al, 1994;Lai et al, 1999], chaotic block ciphers [Masuda et al, 2006], and chaosbased stream ciphers [Barakat et al, 2014;MurilloEscobar et al, 2015;Li & Liu, 2013;Munir, 2012;Tong & Cui, 2008;Wang et al, 2012]. Instructive guidelines for developing chaos-based cryptosystems were published by Alvarez and Li [2006].…”

“…These stream ciphers involve no chaotic dynamics and run quickly. For the encryption speed in comparison with that of a chaos-based cipher, see [Barakat et al, 2014].…”

The Design of Chaos M-ary Communication Demodulator Based on Hamilton Oscillator

“…Chaos theory has been developed very rapidly in recent years, and has found an increasingly wide utilization in many fields, such as [1][2][3][4]. Chaos is sensitive to initial value, unpredictable and disorderly, these characteristics makes chaotic systems unstable and aperiodic, making them naturally harder to identify and to predict.…”

Edge dedection application with FPGA based Sobel operator

“…Bu çalışma alanlarına tıp bilimleri [1,2], ölçme ve enstrümantasyon uygulamaları [3,4], şifreleme bilimleri [5], yer bilimleri [6], kontrol [7], yiyecek endüstrisi, optimizasyon, yapay sinir ağları, haberleşme örnek olarak verilebilmektedir.…”