• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.616-626
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial feature information and the face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple frequency domains for each depth image and depth fusion using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. It is used as the reference point to normalize for orientated facial pose and extract multiple areas by the depth threshold values. In the second step, we adopt as features for the authentication problem the wavelet coefficient extracted from some wavelet subband to use feature information. The third step of approach concerns the application of eigenface and Linear Discriminant Analysis (LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) show the highest recognition rate among the regions, and the depth fusion method achieves 98.6% recognition rate, incase of fuzzy integral.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.573-584
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• 2001

Policy-Based Network Management (PBNM) architecture is to meet various needs of network users and to provide effective management facilities in distributed and large scale networks to network managers. In PBNM, network managers perform network management operations by stipulating a set of rules rather than control each network component. On the other hand, providing security services such as authentication, privacy of messages as well as a new flexible and extensible administration framework, SNMPv3 enables network managers to monitor and control the operation of network components more secure way than ever before. Despite of its enhanced security services, SNMPv3 has difficulties in managing distributed, large-scaled network because it does not provide centralized security management facilities. In this paper, we propose a new security model called Role-based Security Management model (RSM) with security management policy to support scalable and centralized security management for SNMP-based networks. Also, the structure and the operation of the security system as well as the efficiency analysis of RSM in terms of security management are also described.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.10
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• pp.421-428
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• 2017

The need for various approaches to non-face-to-face identification technology for registering and authenticating users online is being required because of the growth of online financial services and the rapid development of financial technology. In general, non-face-to-face approaches can be exposed to a greater number of threats than face-to-face approaches. Therefore, identification policies and technologies to verify users by using various factors and channels are being studied in order to complement the risks and to be more reliable non-face-to-face identification methods. One of these new approaches is to collect and verify a large number of personal information of user. Therefore, we propose a big-data based non-face-to-face Identity Proofing method that verifies identity on online based on various and large amount of information of user. The proposed method also provides an identification information management scheme that collects and verifies only the user information required for the identity verification level required by the service. In addition, we propose an identity information sharing model that can provide the information to other service providers so that user can reuse verified identity information. Finally, we prove by implementing a system that verifies and manages only the identity assurance level required by the service through the enhanced user verification in the non-face-to-face identity proofing process.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.1
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• pp.64-77
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• 2009

A proxy re-encryption scheme allows Alice to temporarily delegate the decryption rights to Bob via a proxy. Alice gives the proxy a re-encryption key so that the proxy can convert a ciphertext for Alice into the ciphertext for Bob. Recently, ID-based proxy re-encryption schemes are receiving considerable attention for a variety of applications such as distributed storage, DRM, and email-forwarding system. And a non-interactive identity-based proxy re-encryption scheme was proposed for achieving CCA-security by Green and Ateniese. In the paper, we show that the identity-based proxy re-encryption scheme is unfortunately vulnerable to a collusion attack. The collusion of a proxy and a malicious user enables two parties to derive other honest users' private keys and thereby decrypt ciphertexts intended for only the honest user. To solve this problem, we propose two ID-based proxy re-encryption scheme schemes, which are proved secure under CPA and CCA in the random oracle model. For achieving CCA-security, we present self-authentication tag based on short signature. Important features of proposed scheme is that ciphertext structure is preserved after the ciphertext is re-encrypted. Therefore it does not lead to ciphertext expansion. And there is no limitation on the number of re-encryption.

• Journal of Life Science
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• v.20 no.9
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• pp.1415-1419
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• 2010

Consumption of green tea has increased along with increasing concern regarding healthier lifestyles, and many brands of green tea are sold with a label indicating the region of Korea in which the tea was produced. However, there is little information on identifying the difference between the green tea cultivars according to the region they were grown. Here, 9 green tea cultivars collected from Hadong region, Bosung region, China and Japan were subjected to the STS-RFLP analysis. Using the coding and noncoding DNA regions of genes related to the phenylpropanoid pathway, such as phenylalanine ammonia-lyase, chalcone synthase and dihydroflavonol 4-reductase, we have identified the differences between green tea cultivars according to the region they were grown in. In this study, we showed a STS-RFLP method of green tea analysis which easily distinguished different kinds of tea using the primers as described. In addition, we identified that the green tea cultivars from Hadong and Bosung displayed a different profile when PAL intron was digested with Dde I, suggesting that a rapid authentication system for green tea cultivars grown in different regions in Korea is available.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.127-136
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• 2013

The study of the compatibility of EPUB DRM, granted by the Korea Copyright Commission, as a CT R & D project (Project Title: The Development of the standard reference software technology for International Standard EPUB-based eBook DRM) developed standards such as profile standards for encryption digital signature and authentication certificates and standards for technical terms of rights information. In 2012, these four standards have been established as the Korean Industrial Standards under the names of 'Encryption specification for EPUB DRM,' 'the Digital signature specification for EPUB DRM,' 'the Certificate specification for EPUB DRM,' and 'Definitions of Right Terms for EPUB DRM' through the ODPF(Open Digital Standardization Forum) and the TTA(Telecommunications Technology Association). The research project also proposed standards of ebook DRM license protocols in order for the four standards to practically apply to ebook DRM compatibility. It is necessary for technology standards to require a compatibility standard test process for testing whether implementations which were developed on the basis of the standard specification, comply with standards. This study suggests an automated compatible standard test method and a test model under the ebook DRM standard technical specification.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.192-200
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• 2008

Multimodal biometrics is a method for personal authentication and verification using more than two types of biometrics data. RBF based score-level fusion uses pattern recognition algorithm for multimodal biometrics, seeking the optimal decision boundary to classify score feature vectors each of which consists of matching scores obtained from several unimodal biometrics system for each sample. In this case, all matching scores are assumed to have the same reliability. However, in recent research it is reported that the quality of input sample affects the result of biometrics. Currently the matching scores having low reliability caused by low quality of samples are not currently considered for pattern recognition modelling in multimodal biometrics. To solve this problem, in this paper, we proposed the RBF based score-level fusion approach which employs quality information of input biometrics data to adjust decision boundary. As a result the proposed method with Qualify information showed better recognition performance than both the unimodal biometrics and the usual RBF based score-level fusion without using quality information.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.45-50
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• 2021

In this paper, we propose the development of a smart space security device that can be opened and closed remotely using IoT. Existing space security devices can control opening and closing by breaking hardware or only using button devices or replicated keys. The recent COVID-19 crisis has created several applications for non-contact devices. In this study, we propose the development of a small space security device that has the function of unlocking through an app without touching the device. By transferring the control authority to a smartphone, device that cannot be opened or closed by only operating hardware at the user's option. It is convenient and hygienic because it can be opened and closed using an app without touching the locking device. Multiple security is possible because security can be released using an app after user authentication by fingerprint recognition and pattern input on a smartphone. If the user wishes, after using the app security, the security is released by directly touching a button installed in the safe or space or opening it with a key. In addition, by adding an inactive function to the app, it is designed so that the door of the safe cannot be opened when the key is lost or the small safe is lost. This study is expected to be able to effectively expand the security system by applying variously to objects that require security.

• Plant Breeding and Biotechnology
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• v.5 no.3
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• pp.243-251
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• 2017

Rhus chinensis is a shrub widely distributed in Asia. It has been used for traditional medicine and ecological restoration. Here, we report the complete chloroplast genome sequence of two R. chinensis genotypes collected from China and Korea. The assembled chloroplast genome of Chinese R. chinensis is 149,094 bp long, consisting of a large single copy (97,246 bp), a small single copy (18,644 bp) and a pair of inverted repeats (16,602 bp). Gene annotation revealed 77 protein coding genes, 30 tRNA genes, and 4 rRNA genes. A phylogenomic analysis of the chloroplast genomes with 11 known complete chloroplast genomes clarified the relationship of R. chinensis with the other plant species in the Sapindales order. A comparative chloroplast genome analysis identified 170 SNPs and 85 InDels at intra-species level of R. chinensis between Chinese and Korean collections. Based on the sequence diversity between Korea and Chinese R. chinensis plants, we developed three DNA markers useful for genetic diversity and authentication system. The chloroplast genome information obtained in this study will contribute to enriching genetic resources and conservation of endemic Rhus species.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.63-70
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• 2009

Recently, in the security token based authentication system, there is an increasing trend of using fingerprint for the token holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. In this paper, we propose an approach for secure fingerprint verification by distributing both the secret and the computation based on the fuzzy vault(a cryptographic construct which has been proposed for crypto-biometric systems). That is, a user fingerprint template which is applied to the fuzzy vault is divided into two parts, and each part is stored into a security token and a server, respectively. At distributing the fingerprint template, we consider both the security level and the verification accuracy. Then, the geometric hashing technique is applied to solve the fingerprint alignment problem, and this computation is also distributed over the combination of the security token and the server in the form of the challenge-response. Finally, the polynomial can be reconstructed from the accumulated real points from both the security token and the server. Based on the experimental results, we confirm that our proposed approach can perform the fuzzy vault-based fingerprint verification more securely on a combination of a security token and a server without significant degradation of the verification accuracy.