Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT
The Internet of Medical Things (IoMT) is a growing trend that has led to the use of connected devices, known as the Internet of Health. The healthcare domain has been a target of cyberattacks, especially with a large number of IoMT devices connected to hospital networks. This factor could allow atta...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/5/3061 |
| _version_ | 1827753081342787584 |
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| author | Stylianos Karagiannis Luís Landeiro Ribeiro Christoforos Ntantogian Emmanouil Magkos Luís Miguel Campos |
| author_facet | Stylianos Karagiannis Luís Landeiro Ribeiro Christoforos Ntantogian Emmanouil Magkos Luís Miguel Campos |
| author_sort | Stylianos Karagiannis |
| collection | DOAJ |
| description | The Internet of Medical Things (IoMT) is a growing trend that has led to the use of connected devices, known as the Internet of Health. The healthcare domain has been a target of cyberattacks, especially with a large number of IoMT devices connected to hospital networks. This factor could allow attackers to access patients’ personal health information (PHI). This research paper proposes Chidroid, an innovative mobile Android application that can retrieve, collect, and distribute logs from smart healthcare devices. The proposed approach enables the creation of datasets, allowing non-structured data to be parsed into semi-structured or structured data that can be used for machine learning and deep learning, and the proposed approach can serve as a universal policy-based tool to examine and analyse security issues in most recent Android versions by distributing logs for analysis. The validation tests demonstrated that the application could retrieve logs and system metrics from various assets and devices in an efficient manner. The collected logs can provide visibility into the device’s activities and help to detect and mitigate potential security risks. This research introduces a way to perform a security analysis on Android devices that uses minimal system resources and reduces battery consumption by pushing the analysis stage to the edge. |
| first_indexed | 2024-03-11T07:30:59Z |
| format | Article |
| id | doaj.art-b095ffa4e0554aeeb4e0159f776378ce |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T07:30:59Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b095ffa4e0554aeeb4e0159f776378ce2023-11-17T07:18:44ZengMDPI AGApplied Sciences2076-34172023-02-01135306110.3390/app13053061Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMTStylianos Karagiannis0Luís Landeiro Ribeiro1Christoforos Ntantogian2Emmanouil Magkos3Luís Miguel Campos4PDM&FC, R. Fradesso da Silveira, 4-1B, 1300-609 Lisboa, PortugalPDM&FC, R. Fradesso da Silveira, 4-1B, 1300-609 Lisboa, PortugalDepartment of Informatics, Ionian University, Plateia Tsirigoti 7, 49100 Corfu, GreeceDepartment of Informatics, Ionian University, Plateia Tsirigoti 7, 49100 Corfu, GreecePDM&FC, R. Fradesso da Silveira, 4-1B, 1300-609 Lisboa, PortugalThe Internet of Medical Things (IoMT) is a growing trend that has led to the use of connected devices, known as the Internet of Health. The healthcare domain has been a target of cyberattacks, especially with a large number of IoMT devices connected to hospital networks. This factor could allow attackers to access patients’ personal health information (PHI). This research paper proposes Chidroid, an innovative mobile Android application that can retrieve, collect, and distribute logs from smart healthcare devices. The proposed approach enables the creation of datasets, allowing non-structured data to be parsed into semi-structured or structured data that can be used for machine learning and deep learning, and the proposed approach can serve as a universal policy-based tool to examine and analyse security issues in most recent Android versions by distributing logs for analysis. The validation tests demonstrated that the application could retrieve logs and system metrics from various assets and devices in an efficient manner. The collected logs can provide visibility into the device’s activities and help to detect and mitigate potential security risks. This research introduces a way to perform a security analysis on Android devices that uses minimal system resources and reduces battery consumption by pushing the analysis stage to the edge.https://www.mdpi.com/2076-3417/13/5/3061android securitylog analysisIoMT securityIoT securityartificial intelligenceIoMT |
| spellingShingle | Stylianos Karagiannis Luís Landeiro Ribeiro Christoforos Ntantogian Emmanouil Magkos Luís Miguel Campos Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT Applied Sciences android security log analysis IoMT security IoT security artificial intelligence IoMT |
| title | Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT |
| title_full | Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT |
| title_fullStr | Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT |
| title_full_unstemmed | Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT |
| title_short | Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT |
| title_sort | chidroid a mobile android application for log collection and security analysis in healthcare and iomt |
| topic | android security log analysis IoMT security IoT security artificial intelligence IoMT |
| url | https://www.mdpi.com/2076-3417/13/5/3061 |
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