A hybrid crypto-compression model for secure brain mri image transmission

Title

A hybrid crypto-compression model for secure brain mri image transmission

Creator

Padhy S.; Dash S.; Shankar T.N.; Rachapudi V.; Kumar S.; Nayyar A.

Description

Medical image encryption is a major issue in healthcare applications where memory, energy, and computational resources are constrained. The modern technological architecture of digital healthcare systems is, in fact, insufficient to handle both the current and future requirements for data. Security has been raised to the highest priority. By meeting these conditions, the hybrid crypto-compression technique introduced in this study can be used for securing the transfer of healthcare images. The approach consists of two components. In order to construct a cutting-edge generative lossy compression system, we first combine generative adversarial networks (GANs) with oearned compression. As a result, the second phase might address this problem by using highly effective picture cryptography techniques. A randomly generated public key is subjected to the DNA technique. In this application, pseudo-random bits are produced by using a logistic chaotic map algorithm. During the substitution process, an additional layer of security is provided to boost the techniques fault resilience. Our proposed system and security investigations show that the method provides trustworthy and long-lasting encryption and several multidimensional aspects that have been discovered in various public health and healthcare issues. As a result, the recommended hybrid crypto-compression technique may significantly reduce a photos size and remain safe enough to be used for medical image encryption. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.

Source

Multimedia Tools and Applications, Vol-83, No. 8, pp. 24361-24381.

Date

2024-01-01

Publisher

Springer

Subject

Chaotic map; Cryptography; DNA encoding; Generative adversarial networks; Security

Coverage

Padhy S., School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Madhya Pradesh, Sehore , 466114, India; Dash S., Department of Computer Science and Engineering, GIET University, Odisha, Gunupur, India; Shankar T.N., Department of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Rachapudi V., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Guntur, Vaddeswaram, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, Viet Nam

Rights

Restricted Access

Relation

ISSN: 13807501; CODEN: MTAPF

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1007/s11042-023-16359-w

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168142738&doi=10.1007%2fs11042-023-16359-w&partnerID=40&md5=32c193822a33b66f17bd054a98f3a7f6