Empirical Analysis of Text Embedding Algorithms in Audio Files: A Proposed Strategy

Abstract

Security has become one of the main tasks to maintain the safety of transmitted or stored information. Text encryption is one of the essential tools for text hiding. On the other hand, steganography coding is an effective tool to increase the security. This paper present's a proposed security which combine with a hiding technique for an important text with a selected audio. The encryption file hiding by phase coding in compressed audio. Such procedure aims to increase security and reduce overall transmitted data. As a result, the hiding and showing processing may affect the selected audio and lose some spectral data. To address this problem, an enhancement based on the Wiener filter is deployed to re-extract the original audio after decompression in the received file. The results, show that high security with achieved by obtaining the hided text and complete audio spectral data of used audio and proposed system achieved an improvement in encryption, compression, and masking at the same time.