Design of an Efficient Steganography Model using Lifting based DWT and Modified-LSB Method on FPGA

Mahesh A A,Raja K.B

doi:10.14569/ijacsa.2019.0101032

Abstract

The data transmission with information hiding is a challenging task in today world. To protect the secret data or image from attackers, the steganography techniques are essential. The steganography is a process of hiding the information from one channel to another in data communication. In this research work, Design of an Efficient Steganography Model using Lifting Based DWT and Modified-LSB Method on FPGA is proposed. The stegano module includes DWT (Discrete Wavelet Transformation) with lifting scheme for the cover image and encryption with Bit mapping for a secret image, an embedded module using Modified Least Significant Bit (MLSB) Method, and Inverse DWT to generate the stegano image. The recovery module includes DWT, decoding module with pixel extraction and bit retrievals, and decryption to generate the recovered secret image. The steganography model is designed using Verilog-HDL on Xilinx platform and implemented with Artix-7 Field Programmable Gate Array (FPGA). The hardware resource constraints like Area, time, and power utilization of the proposed model results are tabulated. The performance analysis of the work is evaluated using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) Ratio for a different cover and secret images with better quality. The proposed steganography model operates at high speed, which improves communication performance.

Highlights

The steganography technique is essential to hide the information in most of the networking and computer applications
The steganography techniques are different from cryptography techniques, because the cryptography converts the overall structure of the data information, whereas in steganography doesn't change the overall structure of the data information [13]
SYNTHESIS RESULTS OF PROPOSED STEGANOGRAPHY TECHNIQUE ON ARTIX-7 Field Programmable Gate Array (FPGA)

Summary

Introduction

The steganography technique is essential to hide the information in most of the networking and computer applications. Steganography is a hiding communication and embeds the hidden content in the cover medium. The different techniques of steganography include text, audio, video, image, and network steganography. There are different ways to classifying steganography methods. Most of the steganography methods hide the information in image files and are classified as spatial domain, spread spectrum, transform domain, statistical, and distortion methods. The Least Significant Bit (LSB) and Pixel Value Difference (PVD) methods are spatial domain methods in image steganography techniques. The spatial domain methods are simple to embed and extract the hidden information, but transformation methods complex compared to spatial domain methods [4,5] [6,7]. The steganography methods are designed and implemented using both software and hardware-based approaches

Methods

Results

Conclusion