• Journal of Convergence Society for SMB
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• v.5 no.3
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• pp.9-13
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• 2015

With the advance of ICT, the necessity of user authentication to verify the identity of an opponent online not face to face is increasing. The authentication, the basis of the security, is used in various fields. Because ID-based authentication has weaknesses in terms of stability and losses, two or more than two authentication tools are used in the place in which the security is important. Recently, biometric authentication rather than ID, OTP, SMS authentication has been an issue in terms of credibility and efficiency. As the fields applied to current biometric recognition technologies are increasing, the application of the biometric recognition is being used in various fields such as mobile payment system, intelligent CCTV, immigration inspection, and access control. As the biometric recognition, finger print, iris, retina, vein, and face recognition have been studied actively. This study is to inspect the current state of domestic and foreign standardization including understanding of the face recognition and the trend of technology.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.7
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• pp.389-398
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• 2000

The popular methods to check the identity of individuals include passwords and ID cards. These conventional method for user identification and authentication are not altogether reliable because they can be stolen and forgotten. As an alternative of the existing methods, biometric technology has been paid much attention for the last few decades. In this paper, we propose an efficient system for recognizing the identity of a living person by analyzing iris patterns which have a high level of stability and distinctiveness than other biometric measurements. The proposed system is based on wavelet transform and a competitive neural network with the improved mechanisms. After preprocessing the iris data acquired through a CCD camera, feature vectors are extracted by using Haar wavelet transform. LVQ(Learning Vector Quantization) is exploited to classify these feature vectors. We improve the overall performance of the proposed system by optimizing the size of feature vectors and by introducing an efficient initialization of the weight vectors and a new method for determining the winner in order to increase the recognition accuracy of LVQ. From the experiments, we confirmed that the proposed system has a great potential of being applied to real applications in an efficient and effective way.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.495-498
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• 2002

The need for network protection, accounting and resource management in foreign administrative domain requires appropriate security services. In this paper, we propose an access control protocol to support the authentication between mobile node and visiting subnet. Our hybrid way of approach aims to reduce computational overhead and minimize the use of network bandwidth. We also propose non-certificate based public-key cryptography to provide non-repudiation, which does not require CRL retrieval and certificate validation.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1011-1014
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• 2005

In this paper, we propose a method that extracts an invariant biometric key in order to apply this biometric key to the crypto-biometric system. This system is a new authentication architecture which can improve the security of current cryptographic system and solve the problem of stored template protection in conventional biometric system, also. To use biometric information as a cryptographic key in crypto-biometric system, same key should be generated from the same person. However, it is difficult to obtain such an invariant biometric key because biometric data is sensitive to surrounding environments. The proposed method solves this problem by clustering Iris Codes obtained by using independent component analysis (ICA).

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.623-626
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• 2006

위치 정보 기반 서비스는 휴대 무선 통신 기기 사용의 확대에 따라 서비스의 범위가 크게 확장될 것으로 예상되고 있다. 그러나 단순한 정보 제공이 아닌 원격 제어, 콘텐츠 서비스 등의 경우에서 위치 정보에 대한 위변조 문제와 사용자의 프라이버시 문제가 발생할 것으로 예상된다. 기존의 위치 정보 보호에 대한 연구는 프라이버시 보호 측면을 위주로 하고 있으며, 인증에 대한 연구는 특정 센싱 기술에 특화되어 있거나, 네트워크상의 DNS를 통한 논리적인 위치 인증에 치우치고 있다. 본 연구에서는 위치 정보 기반 서비스에서의 보안 요구 사항을 분석하여, 기존의 위치 정보 보호 모델을 기반으로 위치 정보를 관리하는 신뢰되는 기관의 필요성을 논하며, 이를 토대로 타임스탬프나 키 갱신을 이용하는 두 가지 프로토콜을 제안한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.2
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• pp.157-163
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• 2005

In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.41-46
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• 2023

Biometrics is an application of biometric authentication and identification techniques that are used for security. Where people can be identified by physical or behavioral features such as iris, fingerprints, or even voice. Biometrics with cryptography can be used in a variety of applications such as issuing, generating, or associating biometric keys. Biometric identification and cryptography are used in many institutions and high-security systems due to the difficulty of tampering or forgery by hackers. In this paper, literature reviews on biometric identification and cryptography are presented and discussed. In addition to a comparison of techniques in the literature reviews, identifying its strengths and weaknesses, and providing an initial proposal for biometrics and cryptography.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.41-53
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• 2016

Today, leading smartphone manufacturers offer biometric technologies such as fingerprints, voice recognition, and iris patterns in their flagship models. These biometric technologies are used for authentication. Biometric authentications are widely used in device security and even in financial transaction. This paper examines cases where a user uses biometric authentication during financial transaction (both online and smartphone banking), and explains biometric for non-repudiation by digital signature. Finally, the paper also explains technical and legal requirements for biometric authentication in the area of financial services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.952-960
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• 2007

Most Websites perform login process for authentication. But simple features like ID and Password have no trust because most people worry about appropriation. So the youth can easily access illegal media sites using other's ID and Password. Therefore this paper examine features be adaptable to authentication system, and propose a design of authentication system using multiple features. A proposed authentication system has two categories, such as low-level and high-level method. Low-level method consists of grant of authentication number through mobile phone from server and certificate from authority. High-level method combines ID/Password and features of fingerprint, character, voice, face recognition systems. For this, this paper surveys six recognition systems such as fingerprint, face, iris, character, vein, voice recognition system. Among these, fingerprint, character, voice, face recognition systems can be easily implemented in personal computer with low cost accessories. Usage of multiple features can improve reliability of authentication.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.114-116
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• 2004

Biometrics consist of technologies that support automatic identification or verification of identity based on behavioral or physical traits. Biometrics can authenticate identities since they measure unique individual characteristics including fingerprints, hand geometry, iris, hand vascular patterns and facial characteristics. we review the state of the hand vascular patterns identification technology and compare other competitive authentication technologies such as cryptography, electronic signature and PKI.