• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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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).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2124-2139
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• 2023

In this article, the authors focus on the use of smart CCTV, a combnation of biometric recognition technology and AI algorithms. In fact, the advancements in relevant technologies brought a significant increase in the use of biometric information - fingerprint, retina, iris or facial recognition - across diverse sectors. Both the public and private sectors, with the developments of biometric technology, widely adopt and use an individual's biometric information for different reasons. For instance, smartphone users highly count on biometric technolgies for the purpose of security. Public and private orgazanitions control an access to confidential information-controlling facilities with biometric technology. Biometric infomration is known to be unique and immutable in the course of one's life. Given the uniquness and immutability, it turned out to be as reliable means for the purpose of authentication and verification. However, the use of biometric information comes with cost, posing a privacy issue. Once it is leaked, there is little chance to recover damages resulting from unauthorized uses. The governments across the country fully understand the threat to privacy rights with the use of biometric information and AI. The EU and the United States amended their data protection laws to regulate it. South Korea aligned with them. Yet, the authors point out that Korean data aprotection law still requires more improvements to minimize a concern over privacy rights arising from the wide use of biometric information. In particular, the authors stress that it is necessary to amend Section (2) of Article 23 of PIPA to reflect the concern by changing the basis for permitting the processing of sensitive information from 'the Statutes' to 'the Acts'.

• Journal of Information Processing Systems
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• 제10권4호
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• pp.555-567
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• 2014

Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric system is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-classification fusion that is based on the similarity of the maximum of matching scores. The proposed solution enhances biometric recognition performances based on suitable feature selection and reduction, such as principal component analysis (PCA) and linear discriminant analysis (LDA), as much as not all of the feature vectors components support the performance improvement degree.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 춘계종합학술대회
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• pp.439-442
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• 2003

본 연구에서는 생체인식(Biometric)을 이용하여 Access Control System을 구현하였다. Biometric 는 생체 인식 또는 생체 측정학으로 사람의 생체적, 행동적 특성을 이용하여 개인을 식별하는 학문 또는 기술이다. Access Control System은 개인을 식별 출입과 근태, 개인 관리, 보안 둥에 사용하는 System으로 Biometric System과 접목으로 편리성과 보안성에서 탁월한 효과를 발휘할 수 있다. 본 연구에서 제안한 시스템은 기존의 RF Card System에 Wiegand(Data format) Signal 출력으로 기존 RF Card Reader대신 Access Control (Security) System을 구성할 수 있도록 설계되었고 컴퓨터와 RS-232, RS-422 또는 Tcp/Ip로 구성되어 Software상에서 임베이디드 System을 Control 할 수 있게 되어 있다.

• 한국멀티미디어학회논문지
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• 제17권8호
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• pp.937-945
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• 2014

Multi-modal biometric system can use another biometric trait in the case of having deficiency at a biometric trait. It also has an advantage of improving the performance of personal identification by using multiple biometric traits, so studies on new biometric traits have continuously been performed. The inner face of finger is a relatively new biometric trait. It has two major features of knuckle lines and wrinkles, which can be used as discriminative features. This paper proposes a finger identification method based on displacement vector to effectively process some variation appeared in contactless hand image. At first, the proposed method produces displacement vectors, which are made by connecting corresponding points acquired by matching each pair of local block. It then recognize finger by measuring the similarity among all the detected displacement vectors. The experimental results using pubic CASIA hand image database show that the proposed method may be effectively applied to personal identification.

• 한국멀티미디어학회논문지
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• 제13권6호
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• pp.875-883
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• 2010

In this paper, we present a secure biometric hashing scheme for face recognition by random fusion of global and local features. The Fourier-Mellin transform and Radon transform are adopted respectively to form specialized representation of global and local features, due to their invariance to geometric operations. The final biometric hash is securely generated by random weighting sum of both feature sets. A fourfold key is involved in our algorithm to ensure the security and privacy of biometric templates. The proposed biometric hash can be revocable and replaced by using a new key. Moreover, the attacker cannot obtain any information about the original biometric template without knowing the secret key. The experimental results confirm that our scheme has a satisfactory accuracy performance in terms of EER.

• Journal of Information Technology Applications and Management
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• 제27권2호
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• pp.1-21
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• 2020

The purpose of this study is to investigate the behavioral factors affecting the security attitude and intention to use biometrics password based on the protection motivation theory. This study also investigates security awareness training to understand trust, privacy, and security vulnerability regarding biometric authentication password. This empirical analysis reveals security awareness training boosts the protection motivational factors that affect on the behavior and intention of using biometric authentication passwords. This study also indicates that biometric authentication passwords can be used when the overall belief in a biometric system is present. After all, security awareness training enhances the belief of biometric passwords and increase the motivation to protect security threats. The study will provide insights into protecting security vulnerability with security awareness training.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.33-40
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• 2021

Recently, wearable computers equipped with various biosensors such as smart watches, smart bands, and smart patches that support daily health management of users as well as patients have been released. Users of wearable computers such as smart watches face various difficulties in performing biometric information processes such as data sensing, collection, transmission, real-time analysis, and feedback in a weak wireless and mobile biometric information service environment. In particular, the biometric information collection interface is an important basic process that determines the quality and performance of the entire biometric information service. So far, research has focused on sensing hardware and logic. This study intensively considers the interface method for effectively sensing and collecting raw biometric information. In particular, the process of collecting biometric information is designed and analyzed from the perspective of periodicity. Therefore, we propose an efficient and stable periodic collection method.

• 정보보호학회논문지
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• 제31권4호
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• pp.841-852
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• 2021

바이오인식은 각 개인의 신체적, 생리적, 행동적 특성을 자동화된 장치로 측정하여 이를 등록한 후, 개인을 식별하거나 인증하는 기술을 말한다. 그런데, 여기서 사용되는 바이오인식 정보는 개인을 식별할 수 있으므로 개인정보에 해당된다. 따라서, 이것이 유출되거나 오용되었을 때 정보주체의 프라이버시에 부정적인 영향을 미치게 된다. 본 논문에서는 바이오인식 정보와 관련된 국내의 법적 현황을 살펴보고 이와 관련된 침해현황을 살펴본다. 이어서 대표적인 바이오인식 응용 모델을 도출하고, 각각에 대한 취약점 및 대책 방안을 논의한다. 최종적으로 바이오인식 시스템의 개발자와 서비스제공자를 위해 바이오인식 정보의 보호를 위한 수칙을 제시한다.

• 정보보호학회논문지
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• 제26권1호
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• pp.69-79
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• 2016

생체 정보를 이용한 사용자 인증은 사용자가 어떠한 정보도 소유하거나 기억할 필요가 없으므로 사용자 측면에서 매우 편리하다. 그러나 생체 정보는 한번 노출되면 영구적으로 사용할 수 없기 때문에 인증 수행 시 생체 정보의 프라이버시 보호가 필수적이다. 또한 생체 정보는 본질적으로 노이즈가 있기 때문에 인증 수행 시 적절한 오차 범위 이내에서 이를 처리할 수 있어야 한다. 최근 퍼지 추출기(fuzzy extractor)를 이용한 생체 정보 기반 인증 프로토콜에 대한 연구가 활발히 진행되고 있으나, 사용자가 헬퍼 데이터(helper data)를 추가적으로 기억해야 하는 문제점이 존재한다. 본 논문에서는 함수 암호 중 하나인 HV-KEM(Hidden Vector Key Encapsulation Mechanism)을 이용하여 사용자가 어떠한 정보도 소유하거나 기억할 필요 없는 생체 정보 기반 인증 프로토콜을 제안한다. 또한, 인증 프로토콜 설계를 위한 HV-KEM의 보안 요구사항을 정립하고 제안하는 인증 프로토콜을 정확성/안전성/효율성 측면에서 분석한다.