Abstract
With the increasing advancement of Internet of Things (IoT) enabled systems, smart medical devices open numerous opportunities for the healthcare sector. The success of using such devices in the healthcare industry depends strongly on secured and reliable medical data transmission. Physicians diagnose that data and prescribe medicines and/or give guidelines/instructions/treatment plans for the patients. Therefore, a physician is always concerned about the medical data trustworthiness, because if it is not guaranteed, a savior can become an involuntary foe! This paper analyses two different scenarios to understand the real-life consequences in IoT-based healthcare (IoT-Health) application. Appropriate sequence diagrams for both scenarios show data movement as a basis for determining necessary security requirements in each layer of IoT-Health. We analyse the individual entities of the overall system and develop a system-wide view of trust in IoT-Health. The security analysis pinpoints the research gap in end-to-end trust and indicates the necessity to treat the whole IoT-Health system as an integrated entity. This study highlights the importance of integrated cross-layer security solutions that can deal with the heterogeneous security architectures of IoT healthcare system and finally identifies a possible solution for the open question raised in the security analysis with appropriate future research directions.
| Original language | English |
|---|---|
| Title of host publication | ACSW'19 - Proceedings of the Australasian Computer Science Week Multiconference |
| Subtitle of host publication | Sydney, NSW, Australia — January 29 - 31, 2019 |
| Editors | Ying Wang, Dale Patterson |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450366038 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2019 - Sydney, Australia Duration: 29 Jan 2019 → 31 Jan 2019 Conference number: 12th https://web.archive.org/web/20190329212701/http://hikm.net.au/ |
Conference
| Conference | Australasian Workshop on Health Informatics and Knowledge Management (HIKM) 2019 |
|---|---|
| Abbreviated title | HIKM 2019 |
| Country | Australia |
| City | Sydney |
| Period | 29/01/19 → 31/01/19 |
| Internet address |
Keywords
- Cross-layer Security
- Data Provenance.
- Healthcare
- Internet of Things (IoT)
- Security Analysis
- Security Requirements
- Trust
Cite this
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"Can I trust the data I see?" : a physician's concern on medical data in IoT health architectures. / Jaigirdar, Fariha Tasmin; Rudolph, Carsten; Bain, Chris.
ACSW'19 - Proceedings of the Australasian Computer Science Week Multiconference: Sydney, NSW, Australia — January 29 - 31, 2019. ed. / Ying Wang; Dale Patterson. New York NY USA : Association for Computing Machinery (ACM), 2019. 27.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - "Can I trust the data I see?"
T2 - a physician's concern on medical data in IoT health architectures
AU - Jaigirdar, Fariha Tasmin
AU - Rudolph, Carsten
AU - Bain, Chris
PY - 2019
Y1 - 2019
N2 - With the increasing advancement of Internet of Things (IoT) enabled systems, smart medical devices open numerous opportunities for the healthcare sector. The success of using such devices in the healthcare industry depends strongly on secured and reliable medical data transmission. Physicians diagnose that data and prescribe medicines and/or give guidelines/instructions/treatment plans for the patients. Therefore, a physician is always concerned about the medical data trustworthiness, because if it is not guaranteed, a savior can become an involuntary foe! This paper analyses two different scenarios to understand the real-life consequences in IoT-based healthcare (IoT-Health) application. Appropriate sequence diagrams for both scenarios show data movement as a basis for determining necessary security requirements in each layer of IoT-Health. We analyse the individual entities of the overall system and develop a system-wide view of trust in IoT-Health. The security analysis pinpoints the research gap in end-to-end trust and indicates the necessity to treat the whole IoT-Health system as an integrated entity. This study highlights the importance of integrated cross-layer security solutions that can deal with the heterogeneous security architectures of IoT healthcare system and finally identifies a possible solution for the open question raised in the security analysis with appropriate future research directions.
AB - With the increasing advancement of Internet of Things (IoT) enabled systems, smart medical devices open numerous opportunities for the healthcare sector. The success of using such devices in the healthcare industry depends strongly on secured and reliable medical data transmission. Physicians diagnose that data and prescribe medicines and/or give guidelines/instructions/treatment plans for the patients. Therefore, a physician is always concerned about the medical data trustworthiness, because if it is not guaranteed, a savior can become an involuntary foe! This paper analyses two different scenarios to understand the real-life consequences in IoT-based healthcare (IoT-Health) application. Appropriate sequence diagrams for both scenarios show data movement as a basis for determining necessary security requirements in each layer of IoT-Health. We analyse the individual entities of the overall system and develop a system-wide view of trust in IoT-Health. The security analysis pinpoints the research gap in end-to-end trust and indicates the necessity to treat the whole IoT-Health system as an integrated entity. This study highlights the importance of integrated cross-layer security solutions that can deal with the heterogeneous security architectures of IoT healthcare system and finally identifies a possible solution for the open question raised in the security analysis with appropriate future research directions.
KW - Cross-layer Security
KW - Data Provenance.
KW - Healthcare
KW - Internet of Things (IoT)
KW - Security Analysis
KW - Security Requirements
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85061238736&partnerID=8YFLogxK
U2 - 10.1145/3290688.3290731
DO - 10.1145/3290688.3290731
M3 - Conference Paper
BT - ACSW'19 - Proceedings of the Australasian Computer Science Week Multiconference
A2 - Wang, Ying
A2 - Patterson, Dale
PB - Association for Computing Machinery (ACM)
CY - New York NY USA
ER -