IoT based on secure personal healthcare using RFID technology and steganography
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 sp...
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Published in | International journal of electrical and computer engineering (Malacca, Malacca) Vol. 11; no. 4; p. 3300 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Yogyakarta
IAES Institute of Advanced Engineering and Science
01.08.2021
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Subjects | |
Online Access | Get full text |
ISSN | 2088-8708 2722-2578 2088-8708 |
DOI | 10.11591/ijece.v11i4.pp3300-3309 |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2088-8708 2722-2578 2088-8708 |
DOI: | 10.11591/ijece.v11i4.pp3300-3309 |