• DocumentCode
    719161
  • Title

    Improvement of existing security system by using elliptic curve and biometric cryptography

  • Author

    Rathi, Anu ; Rathi, Divya ; Astya, Rani ; Nand, Parma

  • Author_Institution
    JPIET, Meerut, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    994
  • Lastpage
    998
  • Abstract
    Biometric systems are systems which have an automated method to measure or analyze biological data, extracting features from the acquired data and comparing it against the templates set in the database. Many authentication schemes involving different biometric systems initialize several identification- and verification-based security methods, and this paper discusses a system which provides secure verification to incorporate the method with elliptical curve cryptography that works on following two points, viz. preventing an elliptic curve and a key using elliptical curve cryptography and the blending of biometric modality. The paper also discusses different approaches to multi-model biometric systems, the levels of fusion that are plausible and the integration of strategies that can be adopted to consolidate information. The unimodal biometric system faces many difficulties, like spooling, attacks, noisy data, etc., but the combination of two or more biometric modalities recognizes anything in a single identification.
  • Keywords
    message authentication; public key cryptography; authentication schemes; biometric cryptography; biometric modality; elliptic curve cryptography; multi model biometric system; security system; verification based security methods; Authentication; Biometrics (access control); Databases; Elliptic curve cryptography; Elliptic curves; Feature extraction; Templates; elliptical curve cryptography; genetic algorithm; identification; one time password; verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148520
  • Filename
    7148520