Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/16573,
  title    = {Biometric Technology in Securing the Internet Using Large Neural Network Technology},
  author    = {B. Akhmetov and  A. Doszhanova and  A. Ivanov and  T. Kartbayev and  A. Malygin},
  country   = {},
  institution={},
  abstract  = {The article examines the methods of protection of
citizens' personal data on the Internet using biometric identity
authentication technology. It`s celebrated their potential danger due
to the threat of loss of base biometric templates. To eliminate the
threat of compromised biometric templates is proposed to use neural
networks large and extra-large sizes, which will on the one hand
securely (Highly reliable) to authenticate a person by his biometrics,
and on the other hand make biometrics a person is not available for
observation and understanding. This article also describes in detail
the transformation of personal biometric data access code. It`s formed
the requirements for biometrics converter code for his work with the
images of "Insider," "Stranger", all the "Strangers". It`s analyzed the
effect of the dimension of neural networks on the quality of
converters mystery of biometrics in access code.
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {7},
  number    = {7},
  year      = {2013},
  pages     = {1063 - 1072},
  ee        = {http://waset.org/publications/16573},
  url       = {http://waset.org/Publications?p=79},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 79, 2013},
}