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Sensors 2017, 17(7), 1482;

An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System

Department of Information Management, Tainan University of Technology, 529 Zhongzheng Road, Tainan 71002, Taiwan
Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, China
National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, 3 Xueyuan Road, Fuzhou 350118, China
Department of Computer Science and Information Engineering, Chaoyang University of Technology, 168 Jifeng East Road, Taichung 41349, Taiwan
School of Information Engineering, Changchun University of Technology, Changchun 130600, China
Department of Library and Information Science, Fu Jen Catholic University, 510 Jhongjheng Road, New Taipei 24205, Taiwan
Department of Photonics and Communication Engineering, Asia University, 500 Lioufeng Road, Taichung 41354, Taiwan
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen University Town, Xili, Nanshan District, Shenzhen 518055, China
Authors to whom correspondence should be addressed.
Received: 28 May 2017 / Revised: 21 June 2017 / Accepted: 21 June 2017 / Published: 23 June 2017
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables doctors, caregivers or families to monitor patients’ physiological conditions at anytime and anyplace according to the acquired information. However, transmitting physiological data through the Internet concerns the personal privacy of patients. Therefore, before users can access medical care services in IoT-based medical care system, they must be authenticated. Typically, user authentication and data encryption are most critical for securing network communications over a public channel between two or more participants. In 2016, Liu and Chung proposed a bilinear pairing-based password authentication scheme for wireless healthcare sensor networks. They claimed their authentication scheme cannot only secure sensor data transmission, but also resist various well-known security attacks. In this paper, we demonstrate that Liu–Chung’s scheme has some security weaknesses, and we further present an improved secure authentication and data encryption scheme for the IoT-based medical care system, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks. Moreover, we modify the authentication process to reduce redundancy in protocol design, and the proposed scheme is more efficient in performance compared with previous related schemes. Finally, the proposed scheme is provably secure in the random oracle model under ECDHP. View Full-Text
Keywords: elliptic curve cryptography (ECC); Internet of Things (IoTs); medical care system; smart cards; user authentication; wireless sensor networks (WSNs) elliptic curve cryptography (ECC); Internet of Things (IoTs); medical care system; smart cards; user authentication; wireless sensor networks (WSNs)

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Li, C.-T.; Wu, T.-Y.; Chen, C.-L.; Lee, C.-C.; Chen, C.-M. An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System. Sensors 2017, 17, 1482.

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