Secure Audio Embedding in Images using Nature-Inspired Optimization

• URL: http://arxiv.org/abs/2512.08299v1
• Date: Tue, 09 Dec 2025 06:54:39 GMT
• Title: Secure Audio Embedding in Images using Nature-Inspired Optimization
• Abstract summary: This paper proposes a new technique for hiding audio files inside images using the Least Significant Bit (LSB) method.<n>The proposed method is evaluated using Peak Signal-to-Noise Ratio (PSNR), Similar Structurality Index (SSIM), and Mean Square Error (MSE)<n> Experimental results show that HHO achieves better image quality, robustness, and embedding capacity compared to existing methods.
• Score: 2.7099800621578303
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: In todays digital world, protecting sensitive data is very essential. Steganography hides the existence of secret data instead of its content, providing better security for multimedia communication. This paper proposes a new technique for hiding audio files inside images using the Least Significant Bit (LSB) method optimized by the Harris Hawks Optimization (HHO) algorithm. HHO is a nature-inspired metaheuristic that imitates the hunting behavior of Harris hawks to find optimal pixel positions for embedding data. The proposed method is evaluated using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Mean Square Error (MSE). Experimental results show that HHO achieves better image quality, robustness, and embedding capacity compared to existing methods.

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