{"ID":2831058,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.08299","arxiv_id":"2512.08299","title":"Secure Audio Embedding in Images using Nature-Inspired Optimization","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.","short_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 opt...","url_abs":"https://arxiv.org/abs/2512.08299","url_pdf":"https://arxiv.org/pdf/2512.08299v1","authors":"[\"Aman Kumar\",\"Ankit Chaudhary\"]","published":"2025-12-09T06:54:39Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}