QRAND-AVS: A Quantum-Randomness Assisted, AI-Optimized DNA–ECC Framework for Secure Video Steganography in IoT
By: Vijaya Kumar Vadladi and D Marshiana
Authors
Vijaya Kumar Vadladi
Department of ECE, Sathyabama Institute of Science and Technology, Chennai, India
D Marshiana
Department of Electronics and Telecommunication, Symbiosis Institute of Technology, Symbiosis International Deemed University, Pune, India
Language: English
Page range: 68 - 88
Submitted on: Sep 19, 2025
Accepted on: Jan 13, 2026
Published on: Jun 4, 2026
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2026 Vijaya Kumar Vadladi, D Marshiana, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.