A novel optimal soft computing algorithms based data hiding in audio for steganography applications

Abstract

There have been extensive efforts in the field of data hidden by using hacking technology by hazards to steal valuable information through the website. In the area of the Internet also, data must be protected to prevent unauthorized or illegal access and misconduct. In the meantime, the Internet will become very fast and become the essential medium for digital data transfer. Over the past few years, several approaches have been developed and proposed to continue with information security. Many data hiding techniques have been developed to embed various types of data, such as text, image, audio, video, etc., using cryptography, steganography and watermarking. In these, steganography has significant repercussions. Steganography is an art that conceals other text, images, audio, and video. Such as audio-based steganography Optimal Genetic Based Shuffled Data Hiding (OGSDH), Optimized Audio Embeddingand Extraction Technique (OAET) and Optimal Reversible Crosswise Matrix Key (ORCMDH) were proposed and compared with the existing Reversible data hiding (RDH) and Adaptive least significant bit steganography (ALSBS) technique, etc. newline