Robust fingerprint verification for enhancing security in healthcare system

Sharmin Jahan, Mohammad Mozammel Hoque Chowdhury, MD Rafiqul Islam

Research output: Book chapter/Published conference paperConference paperpeer-review

5 Citations (Scopus)

Abstract

Ensuring the security and privacy in electronic healthcare systems is becoming an increasingly important problem due to the sensitive nature of health data. Electronic health record (eHR) systems provide opportunities for information sharing which may enhance healthcare services for both patients and healthcare professionals. However, appropriate information management measures are essential for privacy preservation and security. The privacy and security issues currently arising in eHealth domain are mainly centered around user authentication, data confidentiality, and patient privacy protection. However, the traditional authentication and access control measures cannot match the electronic health record system scenario, where the roles and requirements of all stakeholders must be addressed properly. Biometrics technology has considerable opportunities to cope with the above security problems by providing reliable and secure user authentication and authorization to access the health data. In addressing the security and privacy challenges, this paper proposes a robust and efficient scheme for user verification and authorization using fingerprint biometrics to enhance privacy and security in eHealth record systems.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on image and vision computing New Zealand (IVCNZ)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781538642764
ISBN (Print)9781538642771
DOIs
Publication statusPublished - 2017
Event32nd International Conference on Image and Vision Computing New Zealand: IVCNZ 2017 - University of Canterbury , Christchurch, New Zealand
Duration: 04 Dec 201706 Dec 2017
http://ivcnz2017.canterbury.ac.nz/ (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8396321 (Conference proceedings)

Conference

Conference32nd International Conference on Image and Vision Computing New Zealand
Country/TerritoryNew Zealand
CityChristchurch
Period04/12/1706/12/17
OtherImage and Vision Computing New Zealand is New Zealand's premier academic conference on all aspects of computer vision, image processing, visualisation and computer graphics.
Internet address

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