Quantum Audio Steganography for Secure IoT Communication
S. Nandhini, S. Anguraj · International Journal For Multidisciplinary Research · 2025
With the rise of quantum computing and the limitations of traditional encryption methods, ensuring secure data transmission in IoT frameworks has become increasingly critical. This work presents a quantum-enhanced hybrid communication system that integrates adaptive audio techniques with quantum image processing. The proposed system operates in three main stages: first, text data is converted into binary format and encoded into quantum circuits using Qiskit; second, the quantum-encoded data is embedded into audio signals using an adaptive Least Significant Bit (LSB) technique; finally, the stego-audio’s robustness is evaluated under simulated IoT network conditions. Unlike conventional approaches, this method offers dual-layer security by combining dynamic audio embedding with quantum-based image representation, making it resistant to both quantum attacks and signal degradation. Experimental results demonstrate strong performance, with a Peak Signal-to-Noise Ratio (PSNR) ranging from 45 to 50 dB, a Bit Error Rate (BER) below 2%, and entropy values exceeding 7.5. These outcomes indicate the system’s effectiveness for secure, quantum-resilient communication in IoT environments with bandwidth and security constraints.