Abstract

With the rapid development of information technology recently, information security has become the focus of public concern. Information Hiding (IH) technology is an effective method to tackle the problem of information leakage incidents. In this paper, a novel coverless information hiding method based on the Most Significant Bit (MSB) of cover image is proposed (CIHMSB). Firstly, the cover image is segmented into a number of fragments. Secondly, in order to use the MSB of cover image to represent the secret information, the average intensity of each fragment is calculated. Thirdly, a one-to-one mapping between the MSB of the image fragment and the secret information is established using the mapping sequence (denote as $Km$ ), decided by the sender and the receiver in advance. This process produces a mapping flag (denote as $Kf$ ), which is sent by the sender along with the stego image. The objective of the proposed work is to increase hiding capacity, curtail the distortion of the stego image to improve its quality and reduce the Bit Error Rate ( $BER$ ) of stego image in the case of distortion. Experimental results show that the proposed method can conceal 2601 bits secret information per carrier with peak signal-to-noise ratio ( $PSNR$ ) of $\infty $ dB. What’s more, some stego image quality assessment parameters, such as structural similarity ( $SSIM$ ) index and universal image quality index ( $Qi$ ), are slightly better than existing information hiding methods. Furthermore, the proposed method has good performance against such as AGWN, salt & pepper noise, low-pass filtering and JPEG compression attacks.

Highlights

  • With the rapid development of the Internet, information technology plays an important role in economy, culture, military, medicine and many other fields [1]

  • In order to address these above issue, this paper presents a novel coverless information hiding method based on the Most Significant Bit (MSB) of the cover image

  • The cover image is first segmented into a number of image fragments

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Summary

INTRODUCTION

With the rapid development of the Internet, information technology plays an important role in economy, culture, military, medicine and many other fields [1]. In 2019, Aditya Kumar Sahu and Gandharba Swain improved two reversible data hiding (RDH) methods based on dual image least significant bit (LSB) matching and n-rightmost bit replacement (n-RBR) [7] In their works, peak signal-to-noise ratio (PSNR) and embedding capacity (EC) were improved greatly. It is not easy to detected by eyes, when the spatial domain embedding mechanism performing the modification to cover image, the embedded information is sensitive to the image attacks To settle this problem, many frequency domain information hiding algorithm have been proposed. In [17], Aditya Kumar Sahu and Gandharba Swain proposed a dual-layered reversible information hiding (RIH) method based on modified least significant bit (LSB), embedding 768,432 bits (when using the cover image of 256 × 256) of secret information with peak signal-to-noise ratio (PSNR) of 48.20 dB.

RELATED WORK
THE PROCESS OF INFORMATION EXTRACTION
HIDING CAPACITY ANALYSIS
CONCLUSION AND FUTURE WORK
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