Open AccessEfficient Encryption then Compression Systems Using Advanced Algorithms for JPEG Images
Author(s) -
Hrishikesh Korane,
A. Singh,
Chandra Prakash Mirdul,
Shivraj Thokale
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1052
Subject(s) - encryption , computer science , grayscale , scrambling , jpeg , block (permutation group theory) , image compression , computer vision , artificial intelligence , algorithm , data compression , image (mathematics) , image processing , computer network , mathematics , geometry
A new grayscale-based block scrambling image encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems, which are used to securely transmit images through an untrusted channel provider. The proposed scheme enables the use of a smaller block size and a larger number of blocks than the new encryption scheme. Images encrypted using the proposed scheme include less color information due to the use of grayscale images even when the original image has three color channels. These features enhance security against various attacks, such as jigsaw puzzle solver and brute-force attacks. Moreover, it allows the use of color sub-sampling, which can improve the compression performance, although the encrypted images have no color information. In an experiment, encrypted images were uploaded to and then downloaded from Social networking sites, and the results demonstrated that the proposed scheme is effective for EtC systems, while maintaining a high compression performance using advanced compression algorithms.