SVD‐based image compression, encryption, and identity authentication algorithm on cloud. Issue 12 (17th September 2019)

• Record Type: Journal Article
• Authors: Yu, Changzhi; Li, Hengjian; Wang, Xiyu
• Is Part Of: IET image processing. Volume 13:Issue 12(2019)
• Page Start: 2224
• Page End: 2232
• Publication Date: 2019-09-17
• Subjects: chaos -- singular value decomposition -- message authentication -- cryptography -- image coding -- computational complexity -- data compression; encryption -- identity authentication algorithm -- singular value decomposition -- identity authentication scheme -- left singular value matrix -- novel authentication value calculation algorithm -- SVD‐based image compression; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.5912
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Based on singular value decomposition (SVD), an image compression, encryption, and identity authentication scheme is proposed here. This scheme can not only encrypt image data which would store in the cloud but also implement identity authentication. The authors use the SVD to decompose the image data into three parts: the left singular value matrix, the right singular value matrix, and the singular value matrix. The left singular value matrix and right singular value matrix are not as important as the singular value matrix. They propose a logistic‐tent‐sine chaotic system to encrypt them. In this scheme, they proposed a novel authentication value calculation algorithm, which can calculate the authentication value according to related data. According to the authentication value calculated from the ciphertext, the algorithm has the perfect authentication performance, so as in the scenarios if the image is cropped or added noisy. Theoretical analysis and empirical evaluations show that the proposed system can achieve better compression performance, satisfactory security performance, and low computational complexity.