An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System
AbstractIn 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
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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.
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(7):1482.Chicago/Turabian Style
Li, Chun-Ta; Wu, Tsu-Yang; Chen, Chin-Ling; Lee, Cheng-Chi; Chen, Chien-Ming. 2017. "An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System." Sensors 17, no. 7: 1482.
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