• Journal of IKEEE
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• v.25 no.1
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• pp.42-46
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• 2021

A novel key exchange cryptographic method utilizing biometric finger print as a user's private key is proposed. Each unknown users' finger print is encrypted by optical phase-shifting interferometry principle and is changed into two ciphers, which are exchanged with the other party over a public communication network for secret key sharing. The transmitted ciphers generate a complex hologram, which is used to calculate a shared secret key for each user. The proposed method provides high security when applied to a secret key sharing encryption system.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.671-673
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• 2000

현실세계에서 사이버 세계로의 전환은 우리에게 많은 생활의 변화를 가져옴과 동시에 혼란을 동반 하고 있다. 이러한 상황에서 암호기술은 사이버 세계의 질서를 잡는 핵심기술로 발전하고 있다. 본 논문에서는 기존의 공개키 기반 구조의 단점들을 보안 하는 방법으로 생체인증 기술인 지문 인식시스템과 RSA암호 알고리즘을 결합한 새로운 인증 시스템을 제안한다.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.65-72
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• 2022

In this paper, a zero trust-based complex biometric authentication was proposed in a passwordless environment. The linkage of FIDO 2.0 (Fast IDENTITY Online) transaction authentication platforms was designed in conjunction with metaverse. In particular, it was applied with the location information of a smart terminal according to a geomagnetic sensor, an accelerator sensor, and biometric information for multi-factor authentication(MFA). At this time, a FIDO transaction authentication platform was presented for adaptive complex authentication with user's environment through complex authentication with secondary authentication based on situational awareness such as illuminance and temperature/humidity. As a result, it is possible to authenticate secondary users based on zero trust with behavior patterns such as fingerprint recognition, iris recognition, face recognition, and voice according to the environment. In addition, it is intended to check the linkage result of the FIDO platform for complex integrated authentication and improve the authentication accuracy of the linkage platform for transaction authentication using FIDO2.0.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.625-628
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• 2002

생체인식 정보관리 보안표준인 X9.84는 금융서비스에서 금융산업 서비스를 위하여 생체인식정보에 대한 안전한 운영관리를 목적으로 관리메커니즘 및 보안 고려사항 등을 정의하기 위하여 미국 ANSI에서 개발한 국가표준이다. 본 논문에서는 X.9.84에서 제시하는 적용범위, 준용표준, 관리 및 보안요구사항, Biometric 등록, 보안 고려사항 등을 분석하여 금융서비스, 전자상거래 등의 국내 사용자 인증서비스에 적용가능한 생체인식 보안표준으로 개발하기 위하여 준용사항과 암호학적 메커니즘 사용, 관리 및 보안요구 사항, Biometric 등록, 보안고려사항, 감사기록 형식 등의 국내 고려사항을 적용하여 국내 생체인식 정보관리 및 보안표준(K-X9.84)으로 개발하고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1319-1326
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• 2019

Recently, biometrics and location information are being used for authentication in many devices. However, these information are stored as plaintext in safe device or, stored as ciphertext in authentication server it is used for authentication in plaintext by decrypting. Therefore, the leakage of authentication information as well as hacking can cause fatal privacy problems. In this paper, we propose a technique that can be authenticated without exposing authentication information to ciphertext using function encryption.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.167-168
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• 2019

Lately, variety of algorithms using encryption technology has been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve through human biometrics technology which has already succeeded in commercialization. These include finger print recognition, face recognition, and iris recognition. In this study, we selected biometrics recognition technology and pattern recognition and password input methods which are already commercialized as evaluation items. The evaluation items are five algorithms including finger print recognition, face recognition iris recognition, pattern recognition and password input method. Based on these algorithms, analytic hierarchy process is used to analyze the preference of smartphone users. Also, the theoretical implications are presented based on the analysis results.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.25-37
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• 2019

Inspired by the rapid development of deep learning and online biometrics-based authentication, we propose a handwritten one-time password authentication system which employs deep learning-based handwriting recognition and writer verification techniques. We design a convolutional neural network to recognize handwritten digits and a Siamese network to compute the similarity between the input handwriting and the genuine user's handwriting. We propose the first application of the second edition of NIST Special Database 19 for a writer verification task. Our system achieves 98.58% accuracy in the handwriting recognition task, and about 93% accuracy in the writer verification task based on four input images. We believe the proposed handwriting-based biometric technique has potential for use in a variety of online authentication services under the FIDO framework.

• Journal of the Korea Computer Industry Society
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• v.2 no.10
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• pp.1329-1338
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• 2001

This paper describes the biometrics system for user authentication in electronic commerce. At present, social demands are increasing for information security techniques against the information wiretapping in open communications network. For this, these techniques such as anti-virus, firewall, VPN, authentication, cryptography, public key based systems and security management systems have been developed. This Paper discusses the user authentication for the implementation of efficient electronic payment systems. In particular. user authentication system has keen developed using biometrics techniques and the effectiveness of this paper is demonstrated by several experiments.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.2
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• pp.23-29
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• 2002

In this paper we proposed the user identification system using hybrid biometric information and non-contact IC card to improve the accuracy of the system. The hybrid biometric information consists of the face image, the iris image, and the 4-digit voice password of user. And the non-contact IC card provides the base information of user If the distance between the sample hybrid biometric Information corresponding to the base information of user and the measured biometric information is less than the given threshold value, the identification is accepted. Otherwise it is rejected. Through the result of experimentation, this paper shows that the proposed method has better identification rate than the conventional identification method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1A
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• pp.25-32
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• 2010

Recently a passenger ship and liner has been spread throughout men of diversity, the space and informations is not open to general passenger. Therefore security systems are necessary for special sailors to admit them. Although security systems has a variety usage methods which are organism recognition(finger printer, iritis and vein etc) a few years ago, these usages has a defect reusing other objects because of leaving a trace. Therefore this paper designs and implements using 3D Qube image password interface which hand gestures are recognized after acquiring from 2D input image for protective marker of finger printer.