• DocumentCode
    2126554
  • Title

    Physiological Signals: The Next Generation Authentication and Identification Methods!?

  • Author

    Van Den Broek, Egon L. ; Spitters, Martijn

  • Author_Institution
    Media & Network Services, TNO Tech. Sci., Delft, Netherlands
  • fYear
    2013
  • fDate
    12-14 Aug. 2013
  • Firstpage
    159
  • Lastpage
    162
  • Abstract
    Throughout the last 40 years, the security breach caused by human error is often disregarded. To relief the latter problem, this article introduces a new class of biometrics that is founded on processing physiological personal features, as opposed to physical and behavioral features. After an introduction on authentication, physiological signals are discussed, including their advantages, disadvantages, and initial directives for obtaining them. This new class of authentication methods can increase biometrics´ robustness and enables cross validation. I close this article with a brief discussion in which a recap of the article is provided, law, privacy, and ethical issues are discussed, some suggestions for the processing pipeline of this new class of authentication methods are done, and conclusions are drawn.
  • Keywords
    authorisation; biometrics (access control); data privacy; ethical aspects; law; physiology; authentication methods; biometrics; cross validation; ethical issues; human error; identification methods; law issues; physiological personal features; physiological signals; privacy issues; security breach; Authentication; Bioinformatics; Biometrics (access control); Physiology; Privacy; Signal processing; authetication; biometrics; biosignals; identification; physiological signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2013 European
  • Conference_Location
    Uppsala
  • Type

    conf

  • DOI
    10.1109/EISIC.2013.35
  • Filename
    6657145