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Comparative study of several operation modes of AES algorithm for encryption ECG biomedical signal

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 6 (2019)

DOI
10.11591/ijece.v9i6.pp4850-4859
ISSN
2088-8708, 2088-8708
Published
2019-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Biomedical signal processing provides a cross-disciplinary international forum through which research on signal and images measurement and analysis in clinical medicine as well as biological sciences is shared. Electrocardiography (ECG) signal is more frequently used for diagnosis of cardiovascular diseases. However, the ECG signals contain sensitive private health information as well as details that serve to individually distinguish patients. For this reason, the information must be encrypted prior to transmission across public media so as to prevent unauthorized access by adversaries. In this paper, the proposed the use of the Advanced Encryption Standard algorithm (AES), which is one of a symmetric key block cipher with lightweight properties for enhances confidentiality, integrity and authentication in ECG signal transmission. However, some of the challenges arising from the use of this algorithm are computational overhead and level of security, which occur when handling more complex.The AES algorithm has different operation modes using three different key sizes which can be utilized in encrypting the whole sample of ECG biomedical signal in electronic healthcare. The experiments in this research, exhibit comparative study of using five modes of operation in AES algorithm, which are coupled with three key sizes based on the execution time and security level for the encryption of ECG biomedical signals in electronic healthcare application. Thus, we reported that the CBC mode of the AES algorithm is suitable to be applied of security purpose.

Collaboration network of the authors

28 authors · 86 co-authorship links · 21 across different organisations

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  • Universiti Teknikal Malaysia Melaka
  • National University of Malaysia
  • University of Sumer
  • University of Diyala
  • University of Babylon
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Zahriladha ZakariaUniversiti Teknikal Malaysia Melaka4
Ali Abdul-Jabbar MohammedUniversiti Teknikal Malaysia Melaka4
M. S. M. IsaUniversiti Teknikal Malaysia Melaka3
Muhannad Kaml AbdulhameedUniversiti Teknikal Malaysia Melaka3
Mowafak Khadom MohsenUniversiti Teknikal Malaysia Melaka2
A. A. M. IsaUniversiti Teknikal Malaysia Melaka2
Ahmad Fauzan KadminUniversiti Teknikal Malaysia Melaka1
Rostam Affendi HamzahUniversiti Teknikal Malaysia Melaka1
Mohd SaadUniversiti Teknikal Malaysia Melaka1
Nadzrie NadzrieUniversiti Teknikal Malaysia Melaka1
Tg. Mohd FaisalUniversiti Teknikal Malaysia Melaka1
Mahamod B. IsmailNational University of Malaysia1
Rosdiadee NordinNational University of Malaysia1
Nor Fadzilah AbdullahNational University of Malaysia1
Mowafak K. MohsinUniversiti Teknikal Malaysia Melaka1
Imran Mohd IbrahimUniversiti Teknikal Malaysia Melaka1
Ahmed Musa DinarUniversiti Teknikal Malaysia Melaka1
Ali Hameed YassirUniversity of Sumer1
Adel Abdul-Jabbar AlkhazrajiUniversity of Diyala1
Mohammed Saad TalibUniversity of Babylon1
Mohanad Faeq AliUniversiti Teknikal Malaysia Melaka1
A. M. DarsonoUniversiti Teknikal Malaysia Melaka1
C. C. TohUniversiti Teknikal Malaysia Melaka1
Nik Mohd Zarifie HashimUniversiti Teknikal Malaysia Melaka1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Comparative study of several operation modes of AES algorithm for encryption ECG biomedical signal</dc:title><dc:creator>Hameed, Mustafa Emad</dc:creator><dc:creator>Mat Ibrahim, Masrullizam</dc:creator><dc:creator>Abd Manap, Nurulfajar</dc:creator><dc:creator>L. Attiah, Mothana</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;Biomedical signal processing provides a cross-disciplinary international forum through which research on signal and images measurement and analysis in clinical medicine as well as biological sciences is shared. Electrocardiography (ECG) signal is more frequently used for diagnosis of cardiovascular diseases. However, the ECG signals contain sensitive private health information as well as details that serve to individually distinguish patients. For this reason, the information must be encrypted prior to transmission across public media so as to prevent unauthorized access by adversaries. In this paper, the proposed the use of the Advanced Encryption Standard algorithm (AES), which is one of a symmetric key block cipher with lightweight properties for enhances confidentiality, integrity and authentication in ECG signal transmission. However, some of the challenges arising from the use of this algorithm are computational overhead and level of security, which occur when handling more complex.The AES algorithm has different operation modes using three different key sizes which can be utilized in encrypting the whole sample of ECG biomedical signal in electronic healthcare. The experiments in this research, exhibit comparative study of using five modes of operation in AES algorithm, which are coupled with three key sizes based on the execution time and security level for the encryption of ECG biomedical signals in electronic healthcare application. Thus, we reported that the CBC mode of the AES algorithm is suitable to be applied of security purpose.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i6.pp4850-4859</dc:identifier><dc:identifier>10.11591/ijece.v9i6.pp4850-4859</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 6 (2019); 4850</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/18104/13200</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>