A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM-Reference-Cited by-同舟云学术

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

Published:2024 Issue: Volume:12 Page:10818-10833
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Panigrahy Asisa Kumar¹^ORCID,Maniyath Shima Ramesh²,Sathiyanarayanan Mithileysh³,Dholvan Mohan⁴,Ramaswamy T.⁴,Hanumanthakari Sudheer¹,Vignesh N. Arun⁵^ORCID,Kanithan S.⁶,Swain Raghunandan⁷^ORCID

Affiliation:

1. Department of ECE, Faculty of Science and Technology (Icfaitech), ICFAI Foundation for Higher Education Hyderabad, Hyderabad, Telangana, India

2. Department of ECE, MVJ College of Engineering, Bengaluru, Karnataka, India

3. Research & Innovation Centre, MIT Square, London, U.K.

4. Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

5. Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology (GRIET), Hyderabad, Telangana, India

6. Department of CSE, Jain University, Bengaluru, Karnataka, India

7. Department of ETC, Parala Maharaja Engineering College, Berhampur, India

Funder

ICFAI Foundation for Higher Education Hyderabad (IcfaiTech), Hyderabad, India

MATLAB tool for conduction of the research work

MIT Square and Raj Square Charity Foundation, Department of Computer Science, University of Beira Interior, Covilhã, Portugal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10398200.pdf?arnumber=10398200

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2. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing

3. Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

4. The Color Image Encryption Technology Based on DNA Encoding & Sine Chaos