Event Management using End-to-End Image Encryption: A Review

Abstract

Encryption-then-Compression (EtC) systems are used to securely transmit images over an untrusted channel provider, and a novel grayscale-based block scrambling image encryption method is developed to improve the security of EtC systems. This approach is intended to make encryption-then-compression (EtC) systems more secure. In comparison to the new encryption technology, the suggested scheme allows for smaller block sizes and a greater number of blocks.Despite the fact that the original image has three colour channels, photos encrypted using the suggested method contain less colour information due to the usage of grayscale images to encrypt the data. These features boost security against threats like jigsaw puzzle solvers and brute-force attacks, among other things. Apart from that, despite the fact that the encrypted photos do not include any colour information, it enables for colour sub-sampling, which can improve the compression speed of the images. In a test, encrypted photographs were posted to and later downloaded from social networking sites, and the findings demonstrated that using advanced compression algorithms, the suggested strategy is successful for ETC systems while still keeping excellent compression performance.

Introduction

I. INTRODUCTION

A system of encryption followed by compression (and so on) with JPEG compression has been proposed and is now being tested for use on social networking sites and cloud photo storage services. Color-based image encryption techniques for EtC systems, on the other hand, are unable to provide the same level of resistance against colour sub-sampling as colour sub-sampling utilised for JPEG compression because an encrypted image is a full-color image. The grey scale-based pictures encryption approach, which encrypts a full-color image and converts it to a grey scale image, has been proposed to address this issue. Even if grey scale-based picture encryption can be employed to avoid the impacts of colour sub-sampling, colour sub-sampling procedures cannot be considered since the grey scale-based image is made up of RGB components and thus cannot be considered.

Furthermore, compression performance drops dramatically when compared to color-based picture encryption. It has been proposed that the quantization table for grey scale-based images, as well as the grey scale-based image encryption created from YCbCr components, provide greater compression performance. The operation of colour sub-sampling, on the other hand, has not been considered. The colour sub-sampling operation for grey scale-based picture encryption is discussed and considered in this study as it relates to grey scale-based image encryption. Rather than generating the image from RGB components, the grey scale-based image is formed by first converting a full-color image in RGB colour space to YCbCr colour space. Color subsampling can be used to create greyscale-based images, which can then be printed. We also go over the scenario and requirements that must be met for picture encryption to be effective. The gains in compression performance and robustness to colour sub-sampling that have been gained through this study are evaluated using Rate-Distortion (R-D) curves.

II. LITERATURE REVIEW

III. PROPOSED SYSTEM

A. Advantages

1. Increases security using advanced compression algorithm.
2. Increases the sharing efficiency.
3. Increasingly adaptable access structures and high security.
4. Processing cost is less.

???????B. Algorithms

1. AES Algorithm for Encryption: AES (advanced encryption standard).It is symmetric algorithm. It used to convert plain text into cipher text .The need for coming with this algo is weakness in DES. The 56 bit key of des is no longer safe against attacks based on exhaustive key searches and 64-bit block also consider asweak.AES was to be used128-bit block with128-bit keys.

Rijendeal was founder. In this drop we are using it to encrypt the data owner file.

Input

128_bit /192 bit/256 bit input (0, 1)

Secret key (128_bit) +plain text (128_bit).

Process

10/12/14-rounds for-128_bit /192 bit/256 bit input

Xor state block (i/p)

Final round:10,12,14

Each round consists: sub byte, shift byte, mix columns, add round key.

Output

 cipher text(128 bit)

2.  DCT Compression Algorithm

File compressor is responsible for taking images as input and    compresses them using DCT algorithm.  

We have used compression threshold factor of t = 0.2

IV. RESULTS AND DISCUSSION

1. Results 1: Shows file size on x axis and Uploading Time on Y-axis

2. Results 2: Shows file size on x axis and Downloading Time on Y-axis

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Conclusion

The implications of colour subsampling on grayscale-based picture encryption for electronic toner cartridge systems were investigated in this work. Following a description of the scenario and criteria for picture encryption, a demonstration was given. Furthermore, we recommended that the luminance and sub-sampled chrominance components be combined to create a grayscale-based image. To investigate compression performance and robustness against colour subsampling, a large number of images were compressed and decompressed with colour sub-sampling ratios of 4:4:4 and 4:2:0. The results showed that adding colour subsampling to grayscale-based picture encryption does not affect compression performance and that grayscale-based image encryption is robust against colour subsampling.

References

[1] J. Vincent, W. Pan, and G. Coatrieux, “Privacy protection and security in eHealth cloud platform for medical image sharing,” in Proc. 2nd Int. Conf. Adv. Technol. Signal Image Process. (ATSIP), Mar. 2016, pp. 93–96. [2] D. Bouslimi and G. Coatrieux, “A crypto-watermarking system for ensuring reliability control and traceability of medical images,” Signal Process., Image Commun., vol. 47, pp. 160–169, Sep. 2016. [3] J. C. Dagadu and J. Li, “Context-based watermarking cum chaotic encryption for medical images in telemedicine applications,” Multimedia Tools Appl., vol. 77, no. 18, pp. 24289–24312, Sep. 2018. [4] Z. Qian, X. Zhang, Y. Ren, and G. Feng, “Block cipher based separable reversible data hiding in encrypted images,” Multimedia Tools Appl., vol. 75, no. 21, pp. 13749–13763, Nov. 2016. [5] C. V. Kumar, V. Natarajan, K. Nirmala, T. Balasubramanian, K. R. Rao, and S. Krishnan, “Encrypted separable reversible watermarking with authentication and error correction,” Multimedia Tools Appl., vol. 78, no. 6, pp. 7005–7027, Mar. 2019. [6] S. Haddad, G. Coatrieux, M. Cozic, and D. Bouslimi, “Joint watermarking and lossless JPEG-LS compression for medical image security,” IRBM, vol. 38, no. 4, pp. 198–206, Aug. 2017. [7] C. Lakshmi, K. Thenmozhi, J. B. B. Rayappan, and R. Amirtharajan, “Encryption and watermark-treated medical image against hacking disease—An immune convention in spatial and frequency domains,”Comput. Methods Programs Biomed., vol. 159, pp. 11–21, Jun. 2018. [8] X.-J. Tong, P. Chen, and M. Zhang, “A joint image lossless compression and encryption method based on chaotic map,” Multimedia Tools Appl., vol. 76, no. 12, pp. 13995–14020, Jun. 2017. [9] H. Ga and W. Zeng, “Image compression and encryption based on wavelet transform and chaos,” Comput. Opt., vol. 43, no. 2, pp. 258–263, Apr. 2019. [10] Z. Qian, H. Xu, X. Luo, and X. Zhang, “New framework of reversible data hiding in encrypted JPEG bitstreams,” IEEE Trans. Circuits Syst. Video Technol., vol. 29, no. 2, pp. 351–362, Feb. 2019.

Copyright

Copyright © 2022 Omkar Sisodia, Priyanka Bade, Pujari Ashwini, Mayuri Ambekar, Prof. Shiv Shinde. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.