Design of Reversible Gates-Based Image Steganography using Quantum Dot Cellular Automata for secure Nano-Communications

Abstract

Image Steganography isa method of concealment secret information, by embedding it into a video, image. It is one in every of the methods employed to protect secret or sensitive information from malicious attacks. Here we are consider secure image data transmission through secure nano-scale communication circuit, Quantum-dot cellular automata (QCA), could be a new paradigm that replaces CMOS circuits by victimization the charge configuration. QCA is used to design the modern digital circuits at the Nanoscale. Thus, using QCA to implement the proposed design reduces 28.33% of area compared with CMOS implementation. When we consider the features of QCA nanotechnology, it performs well low power dissipation and nano scale size at high frequency is exploring as a emerging technology to replace CMOS based systems. The technology behind the QCA Feynman, Toffoli, and Fredkin universal reversible logic gates circuits in the base are implemented and analyzed. In order to optimize the design QCA technology extend up to 5-input majority gates and use a F-Gate. We are proposed reversible XOR gate like Feynman gate as an Encoder/Decoder circuit. Further consider the benifits of QCA the proposed circuit is encoder circuit is also used for reverse computing to encode the data and to use the LSB technique in the image pixels for secure nano communication circuit. We estimated the area and latency of the QCA circuit