TY - GEN
T1 - Secure Authentication in an IoT-Based Healthcare Environment with Strong Anonymity and Unclonable Device
AU - Nurkifli, E. Haodudin
AU - Hwang, Tzonelih
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Internet of Things is the backbone of cutting-edge intelligent applications such as smart transportation, intelligent healthcare systems, Smart cities, etc. On another side, IoT opens enormous challenges for academia and researcher to resolve threats and security risks. For instance, intelligent healthcare system, where the patient uses a body sensor, the body sensor collects data from the patient's body, such as blood pressure using Sphygmomanometer, heartbeat using Electrocardiogram (ECG), and muscle signaling activity using Electromyography (EMG). The body sensor sends data to the server. The doctors, by the device in their hand, can check the patient's condition remotely based on data from the server. The doctor also can communicate with body sensors in real time with the help of the server after the establishment session key. In addition, the patients may be state officials or artists who must hide their identity by reasoning security. This article proposed a new authentication protocol with strong anonymity that can hide the actual identity and achieves non-traceability and unlinkability; hence our protocol is suitable for IoT-based healthcare systems. We conduct solid reasoning as an informal analysis and use the RoR model as the formal analysis to confirm that our protocol meets security competencies.
AB - The Internet of Things is the backbone of cutting-edge intelligent applications such as smart transportation, intelligent healthcare systems, Smart cities, etc. On another side, IoT opens enormous challenges for academia and researcher to resolve threats and security risks. For instance, intelligent healthcare system, where the patient uses a body sensor, the body sensor collects data from the patient's body, such as blood pressure using Sphygmomanometer, heartbeat using Electrocardiogram (ECG), and muscle signaling activity using Electromyography (EMG). The body sensor sends data to the server. The doctors, by the device in their hand, can check the patient's condition remotely based on data from the server. The doctor also can communicate with body sensors in real time with the help of the server after the establishment session key. In addition, the patients may be state officials or artists who must hide their identity by reasoning security. This article proposed a new authentication protocol with strong anonymity that can hide the actual identity and achieves non-traceability and unlinkability; hence our protocol is suitable for IoT-based healthcare systems. We conduct solid reasoning as an informal analysis and use the RoR model as the formal analysis to confirm that our protocol meets security competencies.
UR - http://www.scopus.com/inward/record.url?scp=85180744622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180744622&partnerID=8YFLogxK
U2 - 10.1109/IC2IE60547.2023.10331538
DO - 10.1109/IC2IE60547.2023.10331538
M3 - Conference contribution
AN - SCOPUS:85180744622
T3 - Proceedings - 2023 6th International Conference on Computer and Informatics Engineering: AI Trust, Risk and Security Management (AI Trism), IC2IE 2023
SP - 13
EP - 18
BT - Proceedings - 2023 6th International Conference on Computer and Informatics Engineering
A2 - Hermawan, Indra
A2 - Kurniawan, Asep
A2 - Agustin, Maria
A2 - Rosyida Zain, Ayu
A2 - Gunawan, Wawan
A2 - Dwiasnati, Saruni
A2 - Anindya, Sinantya Feranti
A2 - Iswara, Ratna Widya
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computer and Informatics Engineering, IC2IE 2023
Y2 - 14 September 2023 through 15 September 2023
ER -
