• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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• pp.913-916
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• 2005

정부의 민원서비스등 다양한 용도로 개방 환경에 생체인식시스템이 구축될 수 있는 가능성이 많아졌다. 본 고에서는 생체인식시스템이 구축될 때 발생할 수 있는 취약점을 정의 해 보고 이를 해결하기 위한 기술적 가이드라인을 제시한다. 한번 유출된 생체정보에 대한 피해의 심각성이 크기 때문에, 가능한 모든 공격에 대해서 강인성(Robust)을 가져야 하는 반면에 생체정보 변형에 따른 복잡성은 성능에 현격한 저하가 없어야 한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 추계학술발표대회
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• pp.870-871
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• 2015

빠르게 발전하는 스마트폰 기술 발전에 의해 스마트폰은 민감한 개인 정보를 다루는 경우가 많아졌다. 바이오인식 기술은 이를 안전하게 보호하기 위한 수단으로써 여러 제품에 도입되고 있으나 설계 단계에서 보안이 고려되지 않을 경우 취약점이 발생할 수 있는 잠재적 가능성이 존재한다. 본 논문에서는 스마트폰 바이오인식 시스템 설계 시에 주의해야 할 점을 분석하고, 이를 해결하기 위해 시스템에 요구되는 요구사항들을 정리한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.915-916
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• 2013

• 디지털융복합연구
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• 제12권2호
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• pp.549-554
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• 2014

IT와 융합한 지능형 자동차에 대한 연구가 현재 활발히 진행중이다. 안전한 지능형 자동차 서비스를 위해 다양한 통신 기술이 제공이 되고 있다. 지능형 자동차가 통신기술을 이용한 서비스가 제공되면서 다양한 보안위협 요소가 도출되고 있다. 지능형 자동차에서 보안 인증 솔루션을 위해서는 소유권, 지식, 생체정보를 포함하고 있어야 한다. 본 논문에서는 지능형 자동차의 보안위협 요소를 분석하고 지능형 자동차의 보안 솔루션인 생체정보를 이용한 인증 기법을 제공한다. 기존의 지능형 자동차 인증보안 솔루션보다 높은 보안성을 갖는 구현의 문제점이 해결되도록 사용자 생체인증기법을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4987-5014
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• 2015

The bilinear pairing, also known as Weil pairing or Tate pairing, is widely used in cryptography and its properties help to construct cryptographic schemes for different applications in which the security of the transmitted data is a major concern. In remote login authentication schemes, there are two major requirements: i) proving the identity of a user and the server for legitimacy without exposing their private keys and ii) freedom for a user to choose and change his password (private key) efficiently. Most of the existing methods based on the bilinear property have some security breaches due to the lack of features and the design issues. In this paper, we develop a new scheme using the bilinear property of an elliptic point and the biometric characteristics. Our method provides many features along with three major goals. a) Checking the correctness of the password before sending the authentication message, which prevents the wastage of communication cost; b) Efficient password change phase in which the user is asked to give a new password after checking the correctness of the current password without involving the server; c) User anonymity - enforcing the suitability of our scheme for applications in which a user does not want to disclose his identity. We use BAN logic to ensure the mutual authentication and session key agreement properties. The paper provides informal security analysis to illustrate that our scheme resists all the security attacks. Furthermore, we use the AVISPA tool for formal security verification of our scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권7호
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• pp.2420-2433
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• 2014

Fusing the scores of multibiometrics is a very promising approach to improve the overall system's accuracy and the verification performance. In recent years, there are several approaches towards studying score level fusion of several biometric systems. However, most of them does not consider the genuine and imposter score distributions and result in a higher equal error rate usually. In this paper, a novel score level fusion approach of different biometric systems (dual iris, thermal and visible face traits) based on $Acz{\acute{e}}l$-Alsina triangular norm is proposed. It achieves higher identification performance as well as acquires a closer genuine distance and larger imposter distance. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand database with noisy samples and the NVIE face database with visible and thermal face images. The rigorous results suggest that significant performance improvement can be achieved after the implementation of multibiometrics. The comparative experiments also ascertain that the proposed fusion approach outperforms the state-of-art verification performance.

• 제어로봇시스템학회논문지
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• 제15권1호
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• pp.94-98
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• 2009

In this paper, we deal with a face recognition method for the emotional face images. Since the face recognition is one of the most natural and straightforward biometric methods, there have been various research works. However, most of them are focused on the expressionless face images and have had a very difficult problem if we consider the facial expression. In real situations, however, it is required to consider the emotional face images. Here, three basic human emotions such as happiness, sadness, and anger are investigated for the face recognition. And, this situation requires a robust face recognition algorithm then we use a fuzzy Fisher's Linear Discriminant (FLD) algorithm with the wavelet transform. The fuzzy Fisherface is a statistical method that maximizes the ratio of between-scatter matrix and within-scatter matrix and also handles the fuzzy class information. The experimental results obtained for the CBNU face databases reveal that the approach presented in this paper yields better recognition performance in comparison with the results obtained by other recognition methods.

• 한국항행학회논문지
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• 제18권6호
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• pp.625-632
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• 2014

유헬스 서비스는 사물인터넷 장치와 스마트 기기와 같은 모바일 장치를 사용하기 때문에 휴대가 간편한 소형 컴퓨팅 장치로 구성되어 있으며, 기존 컴퓨터에서 수행하던 작업을 동시에 수행할 수 있다. 환자의 생체정보를 이동통신망 환경에서 의료진과 환자 및 환자의 가족의 스마트기기로 실시간으로 전달할 수 있도록 bluetooth HDP기반의 메시지 구조를 사용하였다. ISO/IEEE 11073 PHD 표준을 기반으로 agent와 manager 사이의 통신 방법을 정의하였다. 의료진과 환자 및 환자의 가족이 스마트 기기를 통하여 실시간으로 확인할 수 있도록 안드로이드 기반의 모니터링 애플리케이션을 구현하여 일상생활에서 사용되고 있는 스마트 기기에서 동작을 확인함으로써 생체정보의 원활한 송수신을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권11호
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• pp.5474-5490
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• 2017

Although two-dimensional principal component analysis (2DPCA) has been shown to be successful in face recognition system, it is still very sensitive to illumination variations. To reduce the effect of these variations, texture-based techniques are used due to their robustness to these variations. In this paper, we explore several texture-based techniques and determine the most appropriate one to be used with 2DPCA-based techniques for face recognition. We also propose a new distance metric computation in 2DPCA called Row Assembled Matrix Distance (RowAMD). Experiments on Yale Face Database, Extended Yale Face Database B, AR Database and LFW Database reveal that the proposed RowAMD distance computation method outperforms other conventional distance metrics when Local Line Binary Pattern (LLBP) and Multi-scale Block Local Binary Pattern (MB-LBP) are used for face authentication and face identification, respectively. In addition to this, the results also demonstrate the robustness of the proposed RowAMD with several texture-based techniques.

• 통합자연과학논문집
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• 제10권3호
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• pp.162-170
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• 2017

In this paper, it is aim to implement a wheelchair monitoring system that provides users with customized medical services easily in everyday life, together with mobility guarantee, which is the most basic requirement of the elderly and disabled persons with physical disabilities. The case-based intelligent wheelchair monitoring system proposed in this study is based on a case-based k-NN algorithm, which implements a system for constructing and inferring examples of various biometric and environmental information of wheelchair users as a knowledge database and a monitoring interface for wheelchair users. In order to confirm the usefulness of the case-based k-NN algorithm, the SVM algorithm showed an average accuracy of 84.2% and the average accuracy of the proposed case-based k-NN algorithm was 86.2% And showed higher performance in terms of accuracy. The system implemented in this paper has the advantage of measuring biometric information and data communication regardless of time and place and it can provide customized service of wheelchair user through user friendly interface.