• DocumentCode
    1924634
  • Title

    Security system based on speech recognition in M-Commerce

  • Author

    Chen, Gong

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    8-10 Aug. 2010
  • Firstpage
    553
  • Lastpage
    556
  • Abstract
    Mobile E-Commerce, as a more convenient and express form of E-Commerce, is developing rapidly with the saturation of E-Commerce market coupled with the widespread of mobile devices. Meanwhile, speech recognition, as a fully-developed identification technology of biological character, receives more praise and abuse than any other scientific breakthroughs. Followed by a brief discussion of the safety of M-Commerce, a new secure transition model based on speech recognition in M-commerce is to be presented. This model is easy to be operated, meeting all the necessary needs for biological feature identification; it can tackle security issues faced by M-commerce, making M-commerce system more user-friendly. A detailed description of the components of the security model and the specific procedures of practical applications are elaborated. This paper aims to analyze the theoretical possibilities of the application of this model.
  • Keywords
    electronic commerce; human computer interaction; mobile computing; security of data; speech recognition; speech-based user interfaces; M-commerce; biological feature identification; mobile E-Commerce; secure transition model; security system; speech recognition; user-friendly system; Cryptography; Safety; M-Commerce; security model; speech recognition; user authentication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6064-9
  • Type

    conf

  • DOI
    10.1109/ICEMMS.2010.5563379
  • Filename
    5563379