Abstract:

The incorporation of sophisticated wavelet transforms into speech steganography systems has emerged as a potentially fruitful avenue in the field of secure communication systems. The protection of personal information in telecommunication networks, the secure transmission of sensitive information in military communications, and the secret exchange of data in corporate contexts are all examples of the importance of data communications security. On the other hand, the system that is now in place makes use of traditional methods of speech steganography, which need the utilization of fundamental encryption strategies and straightforward embedding algorithms. However, despite their functionality, these systems are not robust and do not adequately disguise secret data within speech signals. As a result, they are susceptible to detection and interception without adequate protection. For this reason, the method that has been presented makes use of sophisticated wavelet transformations in order to improve the safety and effectiveness of voice steganography. The system is able to achieve greater embedding capacity while maintaining perceptual transparency because it makes use of the capabilities of wavelets to perform analysis at several resolutions. In addition, the utilization of dynamic embedding methods that are founded on wavelet coefficients guarantees adaptability to a wide range of signal characteristics, hence boosting resistance against attacks and interference from noise. As a result of the VLSI implementation of this system, which maximizes resource consumption and computational efficiency, it is suited for use in real-time applications inside communication systems.

Description:

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