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IoT based on secure personal healthcare using RFID technology and steganography

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 4 (2021)

DOI
10.11591/ijece.v11i4.pp3300-3309
ISSN
2722-2578, 2088-8708
Published
2021-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.

Collaboration network of the authors

20 authors · 49 co-authorship links · 16 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Asia Pacific University of Technology & Innovation
  • Universiti Teknologi MARA
  • Universiti Teknologi Petronas
  • Iraq University College
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Maythem Kamal AbbasUniversiti Teknologi Petronas4
Saiful Izwan SulimanUniversiti Teknologi MARA3
Sinan Ghassan Abid AliIraq University College3
Ravi LakshmananAsia Pacific University of Technology & Innovation3
Hj. Mohd Asri Hj. MansorUniversiti Teknologi MARA2
Hu Jia DongAffiliation unknown2
Shankar DuraikannanAffiliation unknown2
Osama Zaid SalahAsia Pacific University of Technology & Innovation2
Aden AbdillahiAsia Pacific University of Technology & Innovation1
Mohammed Nazar HusseinAsia Pacific University of Technology & Innovation1
Thomas O’ DanielAsia Pacific University of Technology & Innovation1
Mohd Asri MansorUniversiti Teknologi MARA1
Mohamed DjamaAsia Pacific University of Technology & Innovation1
Sathish PerumalAffiliation unknown1
Nai Shyan LaiAsia Pacific University of Technology & Innovation1
Mohamed Iyad AliAsia Pacific University of Technology & Innovation1

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>IoT based on secure personal healthcare using RFID technology and steganography</dc:title><dc:creator>Khan, Haider Ali</dc:creator><dc:creator>Abdulla, Raed</dc:creator><dc:creator>Selvaperumal, Sathish Kumar</dc:creator><dc:creator>Bathich, Ammar</dc:creator><dc:description>&lt;jats:p&gt;Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-08-01</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.v11i4.pp3300-3309</dc:identifier><dc:identifier>10.11591/ijece.v11i4.pp3300-3309</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 4 (2021); 3300</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/24618/14947</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>