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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Vincent Omollo Nyangaresi
Tom Mboya University College
Computer Science & IT Electrical & Electronics Engineering

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Audio steganography with enhanced LSB method for securing encrypted text with bit cycling Enas Wahab Abood; Abdulhssein M. Abdullah; Mustafa A. Al Sibahe; Zaid Ameen Abduljabbar; Vincent Omollo Nyangaresi; Saad Ahmad Ali Kalafy; Mudhafar Jalil Jassim Ghrabta
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3279

Abstract

Data security pressing issue, particularly in terms of ensuring secure and reliable data transfer over a network. Encryption and seganography play a fundamental role in the task of securing data exchanging. In this article, both steganography and cryptography were combined to produce a powerful hybrid securing stego-system. Firstly, a text message is encrypted with a new method using a bits cycling operation to give a cipher text. In the second stage, an enhanced LSB method is used to hide the text bits randomly in an audio file of a wav format. This hybrid method can provide effectually secure data. Peak signal-to-noise ratio (PSNR), mean squared error (MSE) and structural similarity (SSIM) were employed to evaluate the performance of the proposed system. A PSNR was in range (60-65) dB with the enhanced least significant bit (LSB) and the SSIM had been invested to calculate the signal quality, which scored 0.999. The experimental results demonstrated that our algorithm is highly effective in securing data and the capacity size of the secured text. Furthermore, the time consumption was considerably low, at less than 0.3 seconds.
Provably secure and efficient audio compression based on compressive sensing Enas Wahab Abood; Zaid Alaa Hussien; Haifaa Assy Kawi; Zaid Ameen Abduljabbar; Vincent Omollo Nyangaresi; Junchao Ma; Mustafa A. Al Sibahee; Saad Ahmad Ali Kalafy
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp335-346

Abstract

The advancement of systems with the capacity to compress audio signals and simultaneously secure is a highly attractive research subject. This is because of the need to enhance storage usage and speed up the transmission of data, as well as securing the transmission of sensitive signals over limited and insecure communication channels. Thus, many researchers have studied and produced different systems, either to compress or encrypt audio data using different algorithms and methods, all of which suffer from certain issues including high time consumption or complex calculations. This paper proposes a compressing sensing-based system that compresses audio signals and simultaneously provides an encryption system. The audio signal is segmented into small matrices of samples and then multiplied by a non-square sensing matrix generated by a Gaussian random generator. The reconstruction process is carried out by solving a linear system using the pseudoinverse of Moore-Penrose. The statistical analysis results obtaining from implementing different types and sizes of audio signals prove that the proposed system succeeds in compressing the audio signals with a ratio reaching 28% of real size and reconstructing the signal with a correlation metric between 0.98 and 0.99. It also scores very good results in the normalized mean square error (MSE), peak signal-to-noise ratio metrics (PSNR), and the structural similarity index (SSIM), as well as giving the signal a high level of security.
Co-Authors Abdulhssein M. Abdullah Enas Wahab Abood Haifaa Assy Kawi Junchao Ma Mudhafar Jalil Jassim Ghrabta Mustafa A. Al Sibahe Mustafa A. Al Sibahee Saad Ahmad Ali Kalafy Saad Ahmad Ali Kalafy Zaid Alaa Hussien Zaid Ameen Abduljabbar