An Adaptive High Capacity Model for Secure Audio Communication Based on Fractal Coding and Uniform Coefficient Modulation

Ali, Ahmed Hussain; George, Loay E.; Mokhtar, Mohd Rosmadi

doi:10.1007/s00034-020-01409-7

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…To improve the priori SNR required to calculate a spectral gain capable of preserving the speech harmonics, a fake signal is created [24][25][26][27][28][29]. The procedure of wiener filter used in this paper is shown in figure (7).…”

Section: Wiener Filter Algorithmmentioning

confidence: 99%

“…Regardless, more sophisticated statistical steg analysis techniques, like the ones in, have recently been made available. Three critical needs (embedding capacity, transparency, and robustness) must all be met simultaneously in audio steganography, which is the main issue [7]. The term "speech enhancement" explains techniques that can be utilized to enhance voice communication system performance, boost intelligibility, and lessen hearing fatigue caused by noisy speech [8].…”

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confidence: 99%

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

Radhi,

Maarouf

2023

AJEST

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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.

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Section: Wiener Filter Algorithmmentioning

confidence: 99%

mentioning

confidence: 99%

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

Radhi,

Maarouf

2023

AJEST

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“…Cybersecurity is focusing on the practice of defending information, operations, and communications from attacks. The main goal of cybersecurity is maintaining the integrity, confidentiality, privacy, authentication, and availability of any information system [6], [7]. The use of VM techniques 2.2.1.…”

Section: Introductionmentioning

confidence: 99%

E-learning virtual meeting applications: A comparative study from a cybersecurity perspective

Karim¹,

Ali²

2021

IJEECS

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During the coronavirus disease 2019 (COVID-19) pandemic outbreak, the lockdown of all activities including schools and universities became a normal habit, forcing educational institutes to find new ways to ensure the continuity of the learning process. E-learning is considered the best choice at this stage whereas using video conferencing or virtual meeting applications (VM) apps is the most common solution. In this research, security issues and possible cyber-attacks that may occur due to the use of the most popular VM apps used by educational institutes (i.e., Zoom, Microsoft Teams, and Google meet) are discussed. Moreover, the security features of these applications are briefly explained. Furthermore, a comprehensive comparison from a cybersecurity perspective between VM apps was made. The results show that Google Meet was the most secure against cyber-attacks, followed by the Microsoft Teams and finally the Zoom app.

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A Systematic Review of Highly Transparent Steganographic Methods for the Digital Audio

Pejaś

Cierocki²

2022

Computer Information Systems and Industrial Management

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An Adaptive High Capacity Model for Secure Audio Communication Based on Fractal Coding and Uniform Coefficient Modulation

Cited by 8 publications

References 34 publications

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

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

E-learning virtual meeting applications: A comparative study from a cybersecurity perspective

A Systematic Review of Highly Transparent Steganographic Methods for the Digital Audio

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