Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Special Issue
About
About the Journal Editorial Team Privacy Statement Digital preservation policy Contact
Submissions
Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Special Issue

About the Journal Editorial Team Privacy Statement Digital preservation policy Contact

Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-06-26
DOI: https://doi.org/10.56294/dm2024365

Securing Biomedical Audio Data in IoT Healthcare Systems: An Evaluation of Encryption Methods for Enhanced Privacy

By
Mohammed Amraoui ,
Mohammed Amraoui

Intelligent Processing and Security of System (IPSS Team), Department of Computer Science, Faculty of Sciences, Mohammed V University in Rabat. Morocco

Search this author on:

PubMed | Google Scholar
Imane Lasri ,
Imane Lasri

Laboratory of Conception and Systems (Electronics, Signals and Informatics), Faculty of Sciences, Mohammed V University in Rabat. Morocco

Search this author on:

PubMed | Google Scholar
Fouzia Omary ,
Fouzia Omary

Intelligent Processing and Security of System (IPSS Team), Department of Computer Science, Faculty of Sciences, Mohammed V University in Rabat. Morocco

Search this author on:

PubMed | Google Scholar
Mohamed Khalifa Boutahir ,
Mohamed Khalifa Boutahir

Engineering science and technology laboratory, IDMS Team, Faculty of Sciences and Tech-niques, Moulay Ismail University of Meknes. Morocco

Search this author on:

PubMed | Google Scholar
Yousef Farhaoui ,
Yousef Farhaoui

Engineering science and technology laboratory, IDMS Team, Faculty of Sciences and Tech-niques, Moulay Ismail University of Meknes. Morocco

Search this author on:

PubMed | Google Scholar

Abstract

Communication technology have advanced quickly since the COVID-19 epidemic started, providing consumers with additional benefits and conveniences. Concerns over the privacy and confidentiality of this data have grown in importance as initiatives that promote the use of audio and video to enhance interpersonal interactions become more common. In the context of the Internet of Things (IoT), audio communications security is essential in the biomedical domain. Sensitive medical data may be compromised in these connections, which include exchanges between patients and doctors and broadcasts of vital signs. To protect patient privacy and reduce cybersecurity threats, strong security measures such as data encryption must be put in place. Our study attempts to address these issues in this environment. Comparative examination of the Chacha20, Salsa20, and Camellia encryption algorithms enabled us to ascertain that Chacha20 performs exceptionally well when it comes to audio file decryption and encryption speed. The results of our trials attest to this encryption method's astounding effectiveness and efficacy. We have also used the noise reduction technique, which is frequently used in audio security to enhance the quality of recordings and make it easier to identify significant information in audio signals. Then, Fourier transform technique, which is also used to analyze audio files and can be used to identify changes, extract hidden information, and authenticate audio files. By doing this, the audio files security and integrity are strengthened.

Keywords:

Audio security,
Chacha20,
Salsa20,
Camellia,
Noise reduction,
Fourier transform,

How to Cite

1.
Amraoui M, Lasri I, Omary F, Boutahir MK, Farhaoui Y. Securing Biomedical Audio Data in IoT Healthcare Systems: An Evaluation of Encryption Methods for Enhanced Privacy. Data and Metadata [Internet]. 2024 Jun. 26 [cited 2024 Jul. 4];3:365. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/365

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 3 (2024)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.