Secure Audio Embedding in Images using Nature-Inspired Optimization
By: Aman Kumar, Ankit Chaudhary
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.
Similar Papers
SteganoSNN: SNN-Based Audio-in-Image Steganography with Encryption
Cryptography and Security
Hides secret messages in pictures very fast.
A Content-Preserving Secure Linguistic Steganography
Cryptography and Security
Hides messages in text without changing it.
Optimizing Region of Interest Selection for Effective Embedding in Video Steganography Based on Genetic Algorithms
Image and Video Processing
Hides secret messages in videos without anyone noticing.