A novel compressive sensing-based framework for image compression-encryption with S-box
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A novel compressive sensing-based framework for image compression-encryption with S-box Zhiliang Zhu1 · Yanjie Song1 · Wei Zhang1 · Hai Yu1 · Yuli Zhao1 Received: 6 February 2019 / Revised: 20 April 2020 / Accepted: 8 June 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In this paper, we find that compressive sensing (CS) with the chaotic measurement matrix has a strong sensitivity to plaintext. Because of the quantification executed after CS, however, the plaintext sensitivity produced by CS may be weakened greatly. Thus, we propose a novel CS-based compression-encryption framework (CS-CEF) using the intrinsic property of CS to provide a strong plaintext sensitivity for the compression-encryption scheme, which takes a low additional computation cost. Meanwhile, a simple and efficient Substitution box (S-box) construction algorithm (SbCA) based on chaos is designed. Compared with the existing S-box construction methods, the simulation results prove that the proposed S-box has stronger cryptographic characteristics. Based on the above works, we develop an efficient and secure image compression-encryption scheme using S-box (CSb-CES) under the proposed CS-CEF. The simulations and security analysis illustrate that the proposed CSb-CES has the higher efficiency and security compared with the several state-of-the-art CS-based compression-encryption schemes. Keywords Compressive sensing · Plaintext sensitivity · S-box · Compression-encryption · Chaos
1 Introduction With the rapid development of information and communication techniques, more and more digital images have been widely applied in peoples’ daily life due to their characteristics of easy-understanding and vivid description. The security issues of digital images attract the increasing research attention [3, 6, 8, 11–21, 24, 26, 27, 29, 30, 33, 36, 38, 39, 41, 43–49, 51–55]. It is found from the recent researches that the existing traditional ciphers such as Data Encryption Standard (DES), International Data Encryption Algorithm (IDEA) and Advanced Encryption Standard (AES) are unfit for the image encryption. Therefore, different kinds of techniques have been utilized to design various cryptosystems, such as Yanjie Song
[email protected] 1
Software College, Northeastern University, Shenyang 110819, China
Multimedia Tools and Applications
wave function [21, 27, 44, 45], chaos [6, 16–18, 33, 46], DNA [8, 19, 48, 49, 52], Sudoku matrix [43], compressive sensing (CS) [11–14, 20, 26, 36, 47, 51, 53–55] and Substitution box (S-box) [3, 24, 30, 39], and they achieve good security for image. Recently, CS as a new signal-acquisition framework is proposed [5, 10], which can compress and encrypt an image simultaneously. Therefore, CS-based image compressionencryption has attracted the tremendous interest from researchers, and there exist many works on it. We classify the compression-encryption schemes based on CS into two categories according to the encryption methods: depending on the measurement matrix [11, 14, 47] and combining
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