Literature DB >> 23949846

A biometric authentication scheme for telecare medicine information systems with nonce.

Amit K Awasthi1, Keerti Srivastava.   

Abstract

In recent years, the increased availability of lower-cost telecommunications systems and customized patients monitoring devices made it possible to bring the advantages of telemedicine directly into the patient's home. These telecare medicine information systems enable health-care delivery services. These systems are moving towards an environment where automated patient medical records and electronically interconnected telecare facilities are prevalent. Authentication, security, patient's privacy protection and data confidentiality are important for patient or doctor accessing to Electronic Medical Records (EMR). A secure authentication scheme will be required to achieve these goals. Many schemes based on cryptography have been proposed to achieve the goals. However, many schemes are vulnerable to various attacks, and are neither efficient, nor user friendly. Specially, in terms of efficiency, some schemes are resulting in high time cost. In this paper we propose a new authentication scheme that is using the precomputing to avoid the time-consuming exponential computations. Finally, it is shown to be more secure and practical for telecare medicine environments.

Entities:  

Mesh:

Year:  2013        PMID: 23949846     DOI: 10.1007/s10916-013-9964-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

1.  Three-factor anonymous authentication and key agreement scheme for Telecare Medicine Information Systems.

Authors:  Hamed Arshad; Morteza Nikooghadam
Journal:  J Med Syst       Date:  2014-10-29       Impact factor: 4.460

2.  Efficient biometric authenticated key agreements based on extended chaotic maps for telecare medicine information systems.

Authors:  Der-Chyuan Lou; Tian-Fu Lee; Tsung-Hung Lin
Journal:  J Med Syst       Date:  2015-03-22       Impact factor: 4.460

3.  A Robust and Efficient ECC-based Mutual Authentication and Session Key Generation Scheme for Healthcare Applications.

Authors:  Arezou Ostad-Sharif; Dariush Abbasinezhad-Mood; Morteza Nikooghadam
Journal:  J Med Syst       Date:  2018-12-01       Impact factor: 4.460

4.  A Double Chaotic Layer Encryption Algorithm for Clinical Signals in Telemedicine.

Authors:  M A Murillo-Escobar; L Cardoza-Avendaño; R M López-Gutiérrez; C Cruz-Hernández
Journal:  J Med Syst       Date:  2017-02-28       Impact factor: 4.460

Review 5.  A Survey of Authentication Schemes in Telecare Medicine Information Systems.

Authors:  Muhammad Umair Aslam; Abdelouahid Derhab; Kashif Saleem; Haider Abbas; Mehmet Orgun; Waseem Iqbal; Baber Aslam
Journal:  J Med Syst       Date:  2016-11-30       Impact factor: 4.460

6.  A user anonymity preserving three-factor authentication scheme for telecare medicine information systems.

Authors:  Zuowen Tan
Journal:  J Med Syst       Date:  2014-03-19       Impact factor: 4.460

7.  An enhanced biometric authentication scheme for telecare medicine information systems with nonce using chaotic hash function.

Authors:  Ashok Kumar Das; Adrijit Goswami
Journal:  J Med Syst       Date:  2014-06-03       Impact factor: 4.460

8.  Security enhancement of a biometric based authentication scheme for telecare medicine information systems with nonce.

Authors:  Dheerendra Mishra; Sourav Mukhopadhyay; Saru Kumari; Muhammad Khurram Khan; Ankita Chaturvedi
Journal:  J Med Syst       Date:  2014-04-26       Impact factor: 4.460

9.  Improvement of a uniqueness-and-anonymity-preserving user authentication scheme for connected health care.

Authors:  Qi Xie; Wenhao Liu; Shengbao Wang; Lidong Han; Bin Hu; Ting Wu
Journal:  J Med Syst       Date:  2014-07-04       Impact factor: 4.460

10.  A secure chaotic maps and smart cards based password authentication and key agreement scheme with user anonymity for telecare medicine information systems.

Authors:  Chun-Ta Li; Cheng-Chi Lee; Chi-Yao Weng
Journal:  J Med Syst       Date:  2014-07-06       Impact factor: 4.460

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