• DocumentCode
    166455
  • Title

    Two factor remote authentication in healthcare

  • Author

    Bhattasali, Tapalina ; Saeed, Khalid

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    380
  • Lastpage
    386
  • Abstract
    In order to control access of health related data stored in public cloud, efficient authentication mechanism needs to be considered. Biometrics authentication is more reliable than traditional means of authentication because of its uniqueness and low intrusiveness. To ensure high accuracy level, two factor authentication mechanism is proposed here. In this framework, biometrics authentication is fused with secret PIN. The first factor uses simple and effective behavioral biometrics keystroke analysis model whilst the second factor uses secret PIN mechanism. In factor one authentication, keystroke analysis is proposed where raw data are collected first; then processed data are stored and trust scores are generated finally. End-user gets trust score at each factor of authentication and decision is taken based on final trust score of end-user. Performance analysis of the proposed mechanism shows its efficiency to authenticate end-users.
  • Keywords
    authorisation; biometrics (access control); cloud computing; health care; trusted computing; behavioral biometrics keystroke analysis model; biometrics authentication; end-user trust scores; health related data access control; healthcare; public cloud; secret PIN mechanism; two factor remote authentication mechanism; Authentication; Biometrics (access control); Cloud computing; Medical services; Neural networks; Timing; Vectors; Access Control; Authentication; Biometrics; Forensics; Ubiquitous Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968594
  • Filename
    6968594