Optimal Soft Computing for Audio Steganography, the art of concealing information within other media, has gained significant importance in the field of data security and privacy. In particular, audio steganography involves hiding sensitive data within audio files, making it imperceptible to unauthorized individuals. The emergence of optimal soft computing algorithms has revolutionized the field, offering enhanced performance and robustness in audio steganography applications.Optimal soft computing algorithms leverage advanced techniques such as artificial neural networks, fuzzy logic, genetic algorithms, and swarm intelligence to optimize the process of embedding and extracting hidden data in audio signals. These algorithms analyze the audio waveform, identifying imperceptible regions where data can be efficiently hidden, thus ensuring the integrity and confidentiality of the hidden information.
Optimal Soft Computing for Audio Steganography (Paperback)