An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly
Globally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments, according to recent research. However, several barriers within the healthcare system in the developing world hinder the adoption of home-based patient management, hence the need for the IoMT, whose application rais...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Journal of Cybersecurity and Privacy |
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| Online Access: | https://www.mdpi.com/2624-800X/4/4/46 |
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| author | Prudence M. Mavhemwa Marco Zennaro Philibert Nsengiyumva Frederic Nzanywayingoma |
| author_facet | Prudence M. Mavhemwa Marco Zennaro Philibert Nsengiyumva Frederic Nzanywayingoma |
| author_sort | Prudence M. Mavhemwa |
| collection | DOAJ |
| description | Globally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments, according to recent research. However, several barriers within the healthcare system in the developing world hinder the adoption of home-based patient management, hence the need for the IoMT, whose application raises security concerns, particularly in authentication. Several authentication techniques have been proposed; however, they lack a balance of security and usability. This paper proposes a Naive Bayes based adaptive user authentication app that calculates the risk associated with a login attempt on an Android device for elderly users, using their health conditions, risk score, and available authenticators. This authentication technique guided by the MAPE-K<sub>HMT</sub> framework makes use of embedded smartphone sensors. Results indicate a 100% and 98.6% accuracy in usable-security metrics, while cross-validation and normalization results also support the accuracy, efficiency, effectiveness, and usability of our model with room for scaling it up without computational costs and generalizing it beyond SSA. The post-deployment evaluation also confirms that users found the app usable and secure. A few areas need further refinement to improve the accuracy, usability, security, and acceptance but the model shows potential to improve users’ compliance with IoMT security, thereby promoting the attainment of SDG3. |
| format | Article |
| id | doaj-art-122f66ae5ab348429f0e5c50a15d2bc9 |
| institution | Kabale University |
| issn | 2624-800X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Cybersecurity and Privacy |
| spelling | doaj-art-122f66ae5ab348429f0e5c50a15d2bc92024-12-27T14:31:55ZengMDPI AGJournal of Cybersecurity and Privacy2624-800X2024-12-0144993101710.3390/jcp4040046An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the ElderlyPrudence M. Mavhemwa0Marco Zennaro1Philibert Nsengiyumva2Frederic Nzanywayingoma3African Centre of Excellence in Internet of Things, University of Rwanda, Kigali P.O. Box 3900, RwandaScience, Technology, and Innovation Unit, Abdus Salam International Centre for Theoretical Physics, 34151 Trieste, ItalyDepartment of Electrical and Electronic Engineering, University of Rwanda, Kigali P.O. Box 3900, RwandaDepartment of Information Systems, University of Rwanda, Kigali P.O. Box 3900, RwandaGlobally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments, according to recent research. However, several barriers within the healthcare system in the developing world hinder the adoption of home-based patient management, hence the need for the IoMT, whose application raises security concerns, particularly in authentication. Several authentication techniques have been proposed; however, they lack a balance of security and usability. This paper proposes a Naive Bayes based adaptive user authentication app that calculates the risk associated with a login attempt on an Android device for elderly users, using their health conditions, risk score, and available authenticators. This authentication technique guided by the MAPE-K<sub>HMT</sub> framework makes use of embedded smartphone sensors. Results indicate a 100% and 98.6% accuracy in usable-security metrics, while cross-validation and normalization results also support the accuracy, efficiency, effectiveness, and usability of our model with room for scaling it up without computational costs and generalizing it beyond SSA. The post-deployment evaluation also confirms that users found the app usable and secure. A few areas need further refinement to improve the accuracy, usability, security, and acceptance but the model shows potential to improve users’ compliance with IoMT security, thereby promoting the attainment of SDG3.https://www.mdpi.com/2624-800X/4/4/46elderly patientsSSAchronic ailmentsrisk calculationadaptive authenticationsmartphone |
| spellingShingle | Prudence M. Mavhemwa Marco Zennaro Philibert Nsengiyumva Frederic Nzanywayingoma An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly Journal of Cybersecurity and Privacy elderly patients SSA chronic ailments risk calculation adaptive authentication smartphone |
| title | An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly |
| title_full | An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly |
| title_fullStr | An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly |
| title_full_unstemmed | An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly |
| title_short | An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly |
| title_sort | android based internet of medical things adaptive user authentication and authorization model for the elderly |
| topic | elderly patients SSA chronic ailments risk calculation adaptive authentication smartphone |
| url | https://www.mdpi.com/2624-800X/4/4/46 |
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