A Block-Based Division Reversible Data Hiding Method in Encrypted Images

Wei-Liang Liu,Hui-Shih Leng,Dyi-Cheng Chen,Chuan-Kuei Huang

doi:10.3390/sym9120308

Abstract

Due to the increased digital media on the Internet, data security and privacy protection issue have attracted the attention of data communication. Data hiding has become a topic of considerable importance. Nowadays, a new challenge consists of reversible data hiding in the encrypted image because of the correlations of local pixels that are destroyed in an encrypted image; it is difficult to embed secret messages in encrypted images using the difference of neighboring pixels. In this paper, the proposed method uses a block-based division mask and a new encrypted method based on the logistic map and an additive homomorphism to embed data in an encrypted image by histogram shifting technique. Our experimental results show that the proposed method achieves a higher payload than other works and is more immune to attack upon the cryptosystem.

Highlights

Data hiding is a technique in which secret messages are embedded into digital media by making non-perceptible slight changes to the cover media
To overcome the drawback associated with using the RC4 cryptosystem, in this paper, we propose a novel encryption method, based on the logistic map and an additive homomorphism
Instead of the RC4 cryptosystem, in this paper we propose a novel encryption method based on the logistic map and an additive homomorphism

Summary

Introduction

Data hiding is a technique in which secret messages are embedded into digital media by making non-perceptible slight changes to the cover media. Data hiding can be categorized as irreversible or reversible. The difference between reversible and irreversible data hiding approaches is that, in the former, secret messages can be extracted from the stego-media and the original cover media can be recovered without distortion. In the irreversible data hiding approach, the original cover media cannot be recovered without loss of information. Reversible data hiding can be used in many applications, this approach has been extensively studied. In 2003, Tian [1] proposed the difference expansion (DE) method, which is based on the difference expansion transform of pairs of pixels. Thodi and Rodriquez [3] proposed a new difference expansion scheme, termed the prediction error expansion

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Conclusion