• Asia pacific journal of information systems
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• 제31권1호
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• pp.121-140
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• 2021

The main purpose of this research is to understand the strongest predictors of wearable adoption among athletes with an emphasis on the perceived ethics of biometric data. We performed a word co-occurrence study of biometrics research to determine the ethical constructs of biometric data. A questionnaire incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT), Health Belief Model and Biometric Data Ethics was then designed to develop a neural network model to predict the adoption of wearable sensors among athletes. Our model shows that wearable adoption's strongest predictors are perceived ethics, perceived profit, and perceived threat; which can be categorized as professional stressors. The key theoretical contribution of this paper is to extend the literature on UTAUT by developing a predictive modeling of factors affecting acceptance of wearables by athletes, and highlighting the ethical implications of athlete's adoption of wearables.

• ETRI Journal
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• 제32권6호
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• pp.950-960
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• 2010

In response to increased security concerns, biometrics is becoming more focused on overcoming or complementing conventional knowledge and possession-based authentication. However, biometric authentication requires special care since the loss of biometric data is irrecoverable. In this paper, we present a biometric authentication framework, where several novel techniques are applied to provide security and privacy. First, a biometric template is saved in a transformed form. This makes it possible for a template to be canceled upon its loss while the original biometric information is not revealed. Second, when a user is registered with a server, a biometric template is stored in a special form, named a 'soft vault'. This technique prevents impersonation attacks even if data in a server is disclosed to an attacker. Finally, a one-time template technique is applied in order to prevent replay attacks against templates transmitted over networks. In addition, the whole scheme keeps decision equivalence with conventional face authentication, and thus it does not decrease biometric recognition performance. As a result, the proposed techniques construct a secure face authentication framework in open networks.

• 한국정보통신학회논문지
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• 제8권2호
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• pp.494-498
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• 2004

본 연구에서는 생체인식(Biometric)을 이용하여 Access Control System을 구현하였다. Biometrics는 생체인식 또는 생체 측정학으로 사람의 생체적, 행동적 특성을 이용하여 개인을 식별하는 학문 또는 기술이다. Access Control System은 개인을 식별 출입과 근태, 개인 관리, 보안 등에 사용하는 System으로 Biometric System과 접목으로 편리성과 보안성에서 탁월한 효과을 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/IP 로 구성되어 Software상에서 임베이디드 System을 Control 할 수 있게 되어 있다.

• ETRI Journal
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• 제25권5호
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• pp.401-406
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• 2003

A biometric system determines the identity of a person by measuring physical features that can distinguish that person from others. Since biometric features have many variations and can be easily corrupted by noises and deformations, it is necessary to apply machine learning techniques to treat the data. When applying the conventional machine learning methods in designing a specific biometric system, however, one first runs into the difficulty of collecting sufficient data for each person to be registered to the system. In addition, there can be an almost infinite number of variations of non-registered data. Therefore, it is difficult to analyze and predict the distributional properties of real data that are essential for the system to deal with in practical applications. These difficulties require a new framework of identification and verification that is appropriate and efficient for the specific situations of biometric systems. As a preliminary solution, this paper proposes a simple but theoretically well-defined method based on a statistical test theory. Our computational experiments on real-world data show that the proposed method has potential for coping with the actual difficulties in biometrics.

• 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.

• 디지털융복합연구
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• 제11권9호
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• pp.173-179
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• 2013

바이오메트릭 인증은 사용자 고유의 신체 정보인 바이오메트릭 데이터를 이용하여 제 3자에게 본인임을 입증하는 것이다. 사용자는 매 인증 세션 마다 직접 참여해야 하기 때문에 제 3자에 의한 대리 인증이 불가능하다. 바이오메트릭 서명은 인증과 달리 서명한 메시지 내용이 틀림이 없다는 것을 제 3자에게 입증하는 것이다. 서명에 사용된 개인키는 바이오메트릭 데이터를 이용하여 생성된다. 하지만 일단 생성된 서명키는 서명자가 접근할 수 있어서 제 3자에게 서명키를 임대할 수 있다. 본 연구에서는 서명자가 직접 서명에 참여해야 하는 서버 기반의 실시간 바이오메트릭 서명 기법을 제안한다. 제안한 기법은 대리서명이 허용되지 않는 전자 선거에서의 투표권 인증, DRM이 적용된 모바일 상거래에서의 저작권자 인증에 적용될 수 있다.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.59-67
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• 2015

A novel authentication mechanism is biometric authentication where users are identified by their measurable human characteristics, such as fingerprint, voiceprint, and iris scan. The technology of biometrics is becoming a popular method for engineers to design a more secure user authentication scheme. In terms of physiological and behavioral human characteristics, biometrics is used as a form of identity access management and access control, and it services to identity individuals in groups that are under surveillance. In this article, we review the biometric-based authentication protocol by Althobati et al. and provide a security analysis on the scheme. Our analysis shows that Althobati et al.'s scheme does not guarantee server-to-user authentication. The contribution of the current work is to demonstrate this by mounting threat of data integrity and bypassing the gateway node on Althobati et al.'s scheme. In addition, we analysis the security vulnerabilities of Althobati et al.'s protocol.

• 정보와 통신
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• 제32권6호
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• pp.39-49
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• 2015

In cryptographic applications, the key protection is either knowledge-based (passwords) or possession-based (tamper-proof device). Unfortunately, both approaches are easily forgotten or stolen, thus introducing various key management issues. By incorporating biometrics technologies which utilize the uniqueness of personal characteristics, the security of cryptosystems could be strengthened as authentication now requires the presence of the user. Biometric Cryptosystem (BC) encompasses the design of cryptographic keys protection methods by incorporating biometrics. BC involves either key-biometrics binding or direct key generation from biometrics. However, the wide acceptance and deployment of BC solutions are constrained by the fuzziness related with biometric data. Hence, error correction codes (ECCs) should be adopted to ensure that fuzziness of biometric data can be alleviated. In this overview paper, we present such ECC solutions used in various BCs. We also delineate on the important facts to be considered when choosing appropriate ECCs for a particular biometric based solution from accuracy performance and security perspectives.

• 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.