Reversible Image Steganography to Achieve Effective PSNR

Nayab, Mohammad Gauhar; Singh, Aditya Pratap; Sharma, Ritik; Raj, Gaurav

doi:10.1007/978-981-99-5997-6_13

Cited by 1 publication

(1 citation statement)

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“…They highlighted several techniques used in cryptography and steganography to ensure the safety of information transferred between two parties without interference from an unauthorized third party. Mohammad Gauhar, et.al [3] implemented the Image Steganography is one of the most well-known methods where top-secret data is embedded into the pixels of an image by altering some of its pixel values. Reversible Image Steganography is used extensively due to its property of reconstructing the original cover image without any loss.…”

Section: Literature Surveymentioning

confidence: 99%

VLSI Implementation of Speech Steganography with Advanced Wavelet Transform

Akhila,

Kareena,

Nikhitha

et al. 2024

TURCOMAT

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In the realm of secure communication systems, the integration of advanced wavelet transforms into speech steganography systems has emerged as a promising path. Secure transmission of sensitive information in military communications, confidential exchange of data in corporate environments, and protection of personal information in telecommunication networks. However, the current system employs conventional methods of speech steganography, relying on basic encryption techniques and simplistic embedding algorithms. While functional, these approaches lack robustness and fail to adequately conceal secret data within speech signals, leaving them vulnerable to detection and interception. So, the proposed system leverages advanced wavelet transforms to enhance the security and efficiency of speech steganography. By exploiting the multi-resolution analysis capabilities of wavelets, the system achieves improved embedding capacity while maintaining perceptual transparency. Additionally, the use of dynamic embedding algorithms based on wavelet coefficients ensures adaptability to varying signal characteristics, enhancing robustness against attacks and noise interference. The VLSI implementation of this system optimizes resource utilization and computational efficiency, making it suitable for real-time applications in communication systems.

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Section: Literature Surveymentioning

confidence: 99%