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@inproceedings{1812758,
author = {Lavigne, Thomas and Mbarek, Bacem and Pitner, Tomáš},
address = {Brno},
booktitle = {The 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022)},
doi = {http://dx.doi.org/10.1145/3477314.3507210},
keywords = {IoT; Blockchain; Healthcare; Network; Real-time},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Brno},
isbn = {978-1-4503-8713-2},
pages = {1983-1986},
publisher = {ACM},
title = {An Intelligent Blockchain application for Emergency Medical Services},
url = {https://dl.acm.org/doi/abs/10.1145/3477314.3507210},
year = {2022}
}
TY - JOUR
ID - 1812758
AU - Lavigne, Thomas - Mbarek, Bacem - Pitner, Tomáš
PY - 2022
TI - An Intelligent Blockchain application for Emergency Medical Services
PB - ACM
CY - Brno
SN - 9781450387132
KW - IoT
KW - Blockchain
KW - Healthcare
KW - Network
KW - Real-time
UR - https://dl.acm.org/doi/abs/10.1145/3477314.3507210
N2 - With growing awareness of the importance of digital healthcare systems, an efficient health care system can contribute to a significant part to improve the lives of patients. To improve quality of emergency medical care, we propose in this paper an Intelligent Blockchain application for emergency medical services that use real-time patient data. Specifically, the treatment of real-time data of emergency patients can help the clinical team to deliver health care early. The main underlying idea of our solution is to ensure that data that are gathered are as accurate as possible. To this aim, in this paper, we focus in particular on the detection of false data measurement in emergency medical services. We propose a new Blockchain-based health care monitoring by integrating the Blockchain technique to IoT networks, where the agent-based policy is proposed to detect IoT sensor attacks in the form of false data measurement. The simulation results show that the proposed solution has a low network latency and acceptable sending rate.
ER -
LAVIGNE, Thomas, Bacem MBAREK a Tomáš PITNER. An Intelligent Blockchain application for Emergency Medical Services. Online. In \textit{The 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022)}. Brno: ACM, 2022, s.~1983-1986. ISBN~978-1-4503-8713-2. Dostupné z: https://dx.doi.org/10.1145/3477314.3507210.
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