Literature DB >> 33322813

A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems.

Jihyeon Ryu1, Dongwoo Kang2, Hakjun Lee2, Hyoungshick Kim3, Dongho Won3.   

Abstract

Internet of Things (IoT) technology has recently been integrated with various healthcare devices to monitor patients' health status and share it with their healthcare practitioners. Since healthcare data often contain personal and sensitive information, healthcare systems must provide a secure user authentication scheme. Recently, Adavoudi-Jolfaei et al. and Sharma and Kalra proposed a lightweight protocol using hash function encryption only for user authentication on wireless sensor systems. In this paper, we found some weaknesses in target schemes. We propose a novel three-factor lightweight user authentication scheme that addresses these weaknesses and verifies the security of the proposed scheme using a formal verification tool called ProVerif. In addition, our proposed scheme outperforms other proposed symmetric encryption-based schemes or elliptic curve-based schemes.

Entities:  

Keywords:  IoT; WSN; authentication; healthcare

Mesh:

Year:  2020        PMID: 33322813      PMCID: PMC7763045          DOI: 10.3390/s20247136

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  13 in total

1.  QRS complexes detection for ECG signal: the Difference Operation Method.

Authors:  Yun-Chi Yeh; Wen-June Wang
Journal:  Comput Methods Programs Biomed       Date:  2008-06-10       Impact factor: 5.428

2.  A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ECG, accelerometer and SpO2.

Authors:  Wan-Young Chung; Young-Dong Lee; Sang-Joong Jung
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

3.  Cryptanalysis and improvement of a user authentication scheme preserving uniqueness and anonymity for connected health care.

Authors:  Lili Xu; Fan Wu
Journal:  J Med Syst       Date:  2015-01-29       Impact factor: 4.460

4.  Applications of artificial neural networks for ECG signal detection and classification.

Authors:  Y H Hu; W J Tompkins; J L Urrusti; V X Afonso
Journal:  J Electrocardiol       Date:  1993       Impact factor: 1.438

5.  Privacy-preserving telecardiology sensor networks: toward a low-cost portable wireless hardware/software codesign.

Authors:  Fei Hu; Meng Jiang; Mark Wagner; De-Cun Dong
Journal:  IEEE Trans Inf Technol Biomed       Date:  2007-11

6.  E-SAP: efficient-strong authentication protocol for healthcare applications using wireless medical sensor networks.

Authors:  Pardeep Kumar; Sang-Gon Lee; Hoon-Jae Lee
Journal:  Sensors (Basel)       Date:  2012-02-07       Impact factor: 3.576

7.  Improving Biometric-Based Authentication Schemes with Smart Card Revocation/Reissue for Wireless Sensor Networks.

Authors:  Jongho Moon; Donghoon Lee; Youngsook Lee; Dongho Won
Journal:  Sensors (Basel)       Date:  2017-04-25       Impact factor: 3.576

8.  Secure and Efficient Three-Factor Protocol for Wireless Sensor Networks.

Authors:  Jihyeon Ryu; Hakjun Lee; Hyoungshick Kim; Dongho Won
Journal:  Sensors (Basel)       Date:  2018-12-18       Impact factor: 3.576

9.  LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment.

Authors:  Mohammad Wazid; Ashok Kumar Das; Sachin Shetty; Joel J P C Rodrigues; Youngho Park
Journal:  Sensors (Basel)       Date:  2019-12-14       Impact factor: 3.576

10.  Cryptanalysis and Improvement of a Privacy-Preserving Three-Factor Authentication Protocol for Wireless Sensor Networks.

Authors:  Km Renuka; Sachin Kumar; Saru Kumari; Chien-Ming Chen
Journal:  Sensors (Basel)       Date:  2019-10-24       Impact factor: 3.576

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