• DocumentCode
    2861642
  • Title

    Access Control of Cloud Computing Using Rapid Face and Fingerprint Identification

  • Author

    Chang, Bao Rong ; Tsai, Hsiu-Fen ; Chen, Chi-Ming ; Huang, Chien-Feng

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    179
  • Lastpage
    182
  • Abstract
    In this paper,a fast access control applied to Hadoop cloud computing using the fingerprint identification and face recognition is introduced.This study employed a way of low-capacity Linux embedded platform linked to Hadoop via Ethernet,WiFi or 3G.At client side,JamVM virtual machine is utilized to from the J2ME environment,and GNU Classpath is viewed as Java Class Libraries.In order to verify effectiveness and efficiency in access control for cloud computing,the rapid face and fingerprint identification has been accomplished successfully within 2.2 seconds to exactly perform the subject identity under the cross-examination.The experimental results show that the one we proposed outperforms two alternative methods.
  • Keywords
    3G mobile communication; Java; Linux; authorisation; cloud computing; embedded systems; face recognition; fingerprint identification; virtual machines; wireless LAN; 3G mobile communication; Ethernet; GNU Classpath; Hadoop cloud computing; J2ME environment; JamVM virtual machine; Java Class Library; Linux embedded platform; Wi-Fi; access control; face identification; face recognition; fingerprint identification; wireless fidelity; Access control; Cloud computing; Face; Face recognition; Fingerprint recognition; Java; Virtual machining; Access control; Face recogntion; Fingerprint identification; Hadoop cloud computing; JamVM Virtual Machine; Linux Embedded Platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
  • Conference_Location
    Shenzhan
  • Print_ISBN
    978-1-4577-1219-7
  • Type

    conf

  • DOI
    10.1109/IBICA.2011.49
  • Filename
    6118673