An Investigation into the Usage of Bounding Boxes in Discriminating Image Encryption Algorithms

Geetanjli Khambra, Vijay Panse, Shilpa Jackson

2023

Abstract

When it comes to protecting people's privacy and maintaining secrecy, encrypting photographs is the safest and most effective method. However, the computational expense and treating time required to conduct complete image encryption prove to be preventive constraints that preclude it from presence employed more intensively in real time. This is because of the large size and complicated nature of digital images. In order to solve this issue, many recent studies have turned to selective encryption, a way of encrypting only the most salient features of an image in an effort to lessen the encryption burden. As a possible contribution, we offer a selective picture encryption method that uses bounded boxes. The computational repercussions of selective image encryption have been the subject of experimental studies. It has been determined through testing that the selective encryption technique is significantly faster than other methods of encryption. Selective encryption has these features; hence it can be looked at as a viable option. Therefore, this contribution improves security to an acceptable level during implementation. Experiments with the same have shown promising results in protecting real-time photos.

Paper Citation

in Harvard Style

Khambra G., Panse V. and Jackson S. (2023). An Investigation into the Usage of Bounding Boxes in Discriminating Image Encryption Algorithms. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 397-402. DOI: 10.5220/0012491600003739

in Bibtex Style

@conference{ai4iot23,
author={Geetanjli Khambra and Vijay Panse and Shilpa Jackson},
title={An Investigation into the Usage of Bounding Boxes in Discriminating Image Encryption Algorithms},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={397-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012491600003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - An Investigation into the Usage of Bounding Boxes in Discriminating Image Encryption Algorithms
SN - 978-989-758-661-3
AU - Khambra G.
AU - Panse V.
AU - Jackson S.
PY - 2023
SP - 397
EP - 402
DO - 10.5220/0012491600003739
PB - SciTePress