생체 정보와 다중 분류 모델을 이용한 암호학적 키 생성 방법
Cryptographic Key Generation Method Using Biometrics and Multiple Classification Model
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초록
최근 생체 인증 시스템이 확대됨에 따라, 생체 정보를 이용하여 공개키 기반구조(Bio-PKI)에 적용하는 연구들이진행 중이다. Bio-PKI 시스템에서는 공개키를 생성하기 위해 생체 정보로부터 암호학적 키를 생성하는 과정이 필요하다. 암호학적 키 생성 방법 중 특성 정보를 숫자로 정량화하는 기법은 데이터 손실을 유발하고 이로 인해 키 추출 성능이 저하된다. 이 논문에서는 다중 분류 모델을 이용하여 생체 정보를 분류한 결과를 이용하여 키를 생성하는방법을 제안한다. 제안하는 기법은 특성 정보의 손실이 없어 높은 키 추출 성능을 보였고, 여러 개의 분류 모델을이용하기 때문에 충분한 길이의 키를 생성한다.
Abstract
While biometric authentication system has been in general use, research is ongoing to apply biometric data to public keyinfrastructure. It is a significant task to generate a cryptographic key from biometrics in setting up a public key of Bio-PKI. Methods for generating the key by quantization of feature vector can cause data loss and degrade the performance of keyextraction. In this paper, we suggest a new method for generating a cryptographic key from classification results ofbiometric data using multiple classifying models. Our proposal does not cause data loss of feature vector so it showed betterperformance in key extraction. Also, it uses the multiple models to generate key blocks which produce sufficient length ofthe key.
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