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Title

DIVERSITY METRICS TO WATCH ACTUAL BIOMETRIC DATA DISTRIBUTION STATISTICS «FUZZY EXTRACTORS» IN THEIR PROTECTION OF A RANGE

Authors

Ivanov Alexander

doctor of technical sciences, Associate Professor, head of the laboratory of biometric and neural network technology «Penza research Electrotechnical Institute» E-mail: ivan@pniei.penza.ru

Somkin Sergei

Deputy Head of the Research Department, «Penza research Electrotechnical Institute». E-mail: somkin@pniei.penza.ru.

Andreev Dmitry

a researcher at the laboratory of biometric and neural network technology «Penza research Electrotechnical Institute». E-mail: mail.stray@gmail.com

Malygina Elena

graduate student «Security of information systems and technology» Penza State University. E-mail: mal890@yandex.ru

Section

Program and hardware information security

Issue

12

Page

16-23

index UDC

578.087.1+ 004.383.8+ 612.087.1

index LBC

  

Abstract

The analysis of the «fuzzy extractors» and converters biometrics-neural network code. It is shown, that for «fuzzy extractors» transition to the Hamming distance metrics and/or use the metric average indicators stability level bio-code will automatically remove the protection from bio-data distribution statistics. Use the properties of neural network converters biometrics-code allows you to solve these problems.

Keywords

Hamming distance metric, metric, the average State-level bio-security, biometrics, converters biometrics-neural network code.

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