FPGA realization of a chaotic communication system applied to image processing

Abstract

The hardware realization of a chaotic communication system from the description of continuoustime multi-scroll chaotic oscillators is introduced herein by using field-programmable gate arrays (FPGA). That way, two multi-scroll chaotic oscillators generating 2 and 6 scrolls are synchronized by applying Hamiltonian forms and observer approach. The synchronized master-slave topology is used to implement a secure communication system by adding chaos to an image at the transmission stage and by subtracting chaos at the recover stage. The FPGA realization begins by applying numerical methods to solve the system of equations describing the whole chaotic communication system. Further, the replacement of multipliers by single constant multiplication blocks reduces the use of hardware resources and accelerates the processing time as well. Using chaotic oscillators with 2 and 6 scrolls, three kinds of images are processed: one in black and white and two in gray tones. Finally, the experimental results confirm the appropriateness on realizing chaotic communication systems for image processing by using FPGAs.

Complexity Analysis and DSP Implementation of the Fractional-Order Lorenz Hyperchaotic System

“…Hence the tested binary sequences generated by the proposed pseudo-random bit generator are random. Currently, based on DSP/FPGA technology, chaos-based applications are widely used in the engineering fields, especially in image encryption [31] and secret communication [32]. In these applications, the pseudo-random bit generator usually plays an important role.…”

FPGA-based Chaotic Cryptosystem by Using Voice Recognition as Access Key

“…Likewise and more recently, novel implementations have been developed by using reconfigurable hardware such as Field Programmable Gate Arrays (FPGAs), which provide an excellent balance between the computational power and the processing flexibility [17,[22][23][24][25][26][27][28]. Other FPGA implementations of chaotic systems and maps have been applied to image encryption [29]. In the same way, the authors in [30] implemented a Chaotic Pseudo-Random Number Generator (CPRNG) in an FPGA using the System Generator tool (SysGen) developed by Xilinx.…”

Dynamical Analysis, Synchronization, Circuit Design, and Secure Communication of a Novel Hyperchaotic System

“…The hyperchaotic systems have more complex structure, higher unpredictability, and more randomness than ordinary chaotic systems. Thus, the hyperchaotic attractors are more suitable for many important fields in applied nonlinear sciences such as secure communications, neural network, image encryption, laser physics, and nonlinear circuits [10][11][12][13][14][15][16][17][18][19].…”