Research Article
Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms
@ARTICLE{10.4108/eai.13-7-2018.163976, author={Neetu Gupta and Ritu Vijay and Hemant Kumar Gupta}, title={Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms}, journal={EAI Endorsed Transactions on Energy Web}, volume={7}, number={28}, publisher={EAI}, journal_a={EW}, year={2020}, month={4}, keywords={AES, compression-encryption, DCT, DES, SSIM, PSNR}, doi={10.4108/eai.13-7-2018.163976} }- Neetu Gupta
Ritu Vijay
Hemant Kumar Gupta
Year: 2020
Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms
EW
EAI
DOI: 10.4108/eai.13-7-2018.163976
Abstract
In the modern era, the issues pertaining with secured, fast and efficient image transmission with limited bandwidth are challenging task. This provides a platform to the researcher to work on image compression-encryption (CE) methodologies. To influence the degree of compression, this paper presents a DCT based compression algorithm using luminous quantization followed by advanced encryption standard (AES) and data encryption standard (DES) encryption methods. In this paper, the effect of encryption over compressed image in terms of PSNR and SSIM is analysed. Efficiency of the AES and DES encryption algorithms are compared based on key space, histogram and differential analysis. The experiment is performed on five different test images. From the results, it is observed that DCT-AES combination of compression-encryption algorithms gives higher resistance to redundant data and provides better security to information during transmission.
Copyright © 2020 Neetu Gupta et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
