• Title/Summary/Keyword: aAuthentication

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Proposal for a Custody and Federated Service Model for the Decentralized Identity (분산 ID 보관 및 연계 서비스 모델 제안)

  • Yeo, Kiho;Park, Keundug;Youm, Heung Youl
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.3
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    • pp.513-525
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    • 2020
  • Until today, the personal information of subjects has been centralized in many companies or institutions. However, in recent days, the paradigm has gradually changed in the direction that subjects control their personal information and persue their self-sovereignty. Globally, individual data sovereignty is strengthened by the European Union's General Data Protection Regulation(GDPR) and the US California Consumer Privacy Act(CCPA). In Korea, a few alliances consist of various companies are creating technology research and service application cases for decentralized ID service model. In this paper, the current decentralized ID service model and its limitations are studied, and a improved decentralized ID service model that can solve them is proposed. The proposed model has a function of securely storing decentralized ID to the third party and a linkage function that can be interoperated even if different decentralized ID services are generated. In addition, a more secure and convenient model by identifying the security threats of the proposed model and deriving the security requirements, is proposed. It is expected that the decentralized ID technology will be applied not only to the proof of people but also to the device ID authentication management of the IoT in the future.

A Study on the development of Test Report Information Service(TRIS) by User survey analysis (사용자 설문분석을 통한 군수품 시험성적서 정보서비스 고도화 방안에 대한 연구)

  • Park, Dongsoo;Lee, Donghun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.405-414
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    • 2017
  • In this study, a survey for a satisfaction evaluation of the Test Report Information Service (TRIS) was conducted. A survey questionnaire on modified Information System Success Model(ISSM) of Delone and Mclean was carried out by 183 users in three groups, such as munition quality assurance agency, munition corporation, and test institute. As a survey result, training on the TRIS was in strong demand in all three groups. An understanding and proficiency of the overall system were different from the work process of each user group. In addition, the munition quality assurance agency needs to enhance the system function with its characteristics. Test institute has necessity of the linkage method with the TRIS depending on the authentication system. User groups are different in the operational method of TRIS between the contractor and cooperation. Accordingly, cooperation needs to be educated continually. This study can help in the construction of a Military Quality Integration Information System to secure the reliability of munitions.

A Method for Determining Face Recognition Suitability of Face Image (얼굴영상의 얼굴인식 적합성 판정 방법)

  • Lee, Seung Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.295-302
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    • 2018
  • Face recognition (FR) has been widely used in various applications, such as smart surveillance systems, immigration control in airports, user authentication in smart devices, and so on. FR in well-controlled conditions has been extensively studied and is relatively mature. However, in unconstrained conditions, FR performance could degrade due to undesired characteristics of the input face image (such as irregular facial pose variations). To overcome this problem, this paper proposes a new method for determining if an input image is suitable for FR. In the proposed method, for an input face image, reconstruction error is computed by using a predefined set of reference face images. Then, suitability can be determined by comparing the reconstruction error with a threshold value. In order to reduce the effect of illumination changes on the determination of suitability, a preprocessing algorithm is applied to the input and reference face images before the reconstruction. Experimental results show that the proposed method is able to accurately discriminate non-frontal and/or incorrectly aligned face images from correctly aligned frontal face images. In addition, only 3 ms is required to process a face image of $64{\times}64$ pixels, which further demonstrates the efficiency of the proposed method.

Design of Small Space Convergence Locking device Using IoT (IOT를 이용한 소규모 공간의 융합 잠금 장치 제안)

  • Park, Hyun-Joo
    • 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.

The Complete Chloroplast Genome Sequence and Intra-Species Diversity of Rhus chinensis

  • Kim, Inseo;Park, Jee Young;Lee, Yun Sun;Joh, Ho Jun;Kang, Shin Jae;Murukarthick, Jayakodi;Lee, Hyun Oh;Hur, Young-Jin;Kim, Yong;Kim, Kyung Hoon;Lee, Sang-Choon;Yang, Tae-Jin
    • 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.

Proposal of Promotion Strategy of Mobile Easy Payment Service Using Topic Modeling and PEST-SWOT Analysis (모바일 간편 결제 서비스 활성화 전략 : 토픽 모델링과 PEST - SWOT 분석 방법론을 기반으로)

  • Park, Seongwoo;Kim, Sehyoung;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.365-385
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    • 2022
  • The easy payment service is a payment and remittance service that uses a simple authentication method. As online transactions have increased due to COVID-19, the use of an easy payment service is increasing. At the same time, electronic financial industries such as Naver Pay, Kakao Pay, and Toss are diversifying the competition structure of the easy payment market; meanwhile overseas fintech companies PayPal and Alibaba have a unique market share in their own countries, while competition is intensifying in the domestic easy payment market, as there is no unique market share. In this study, the participants in the easy payment market were classified as electronic financial companies, mobile phone manufacturers, and financial companies, and a SWOT analysis was conducted on the representative services in each industry. The analysis examined the user reviews of Google Play Store via a topic modeling analysis, and it employed positive topics as strengths and negative topics as weaknesses. In addition, topic modeling was conducted by dividing news articles into political, economic, social, and technology (PEST) articles to derive the opportunities and threats to easy payment services. Through this research, we intend to confirm the service capabilities of easy payment companies and propose a service activation strategy that allows gaining the upper hand in the market.

Speaker verification with ECAPA-TDNN trained on new dataset combined with Voxceleb and Korean (Voxceleb과 한국어를 결합한 새로운 데이터셋으로 학습된 ECAPA-TDNN을 활용한 화자 검증)

  • Keumjae Yoon;Soyoung Park
    • The Korean Journal of Applied Statistics
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    • v.37 no.2
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    • pp.209-224
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    • 2024
  • Speaker verification is becoming popular as a method of non-face-to-face identity authentication. It involves determining whether two voice data belong to the same speaker. In cases where the criminal's voice remains at the crime scene, it is vital to establish a speaker verification system that can accurately compare the two voice evidence. In this study, to achieve this, a new speaker verification system was built using a deep learning model for Korean language. High-dimensional voice data with a high variability like background noise made it necessary to use deep learning-based methods for speaker matching. To construct the matching algorithm, the ECAPA-TDNN model, known as the most famous deep learning system for speaker verification, was selected. A large dataset of the voice data, Voxceleb, collected from people of various nationalities without Korean. To study the appropriate form of datasets necessary for learning the Korean language, experiments were carried out to find out how Korean voice data affects the matching performance. The results showed that when comparing models learned only with Voxceleb and models learned with datasets combining Voxceleb and Korean datasets to maximize language and speaker diversity, the performance of learning data, including Korean, is improved for all test sets.

A Study on Touchless Finger Vein Recognition Robust to the Alignment and Rotation of Finger (손가락 정렬과 회전에 강인한 비 접촉식 손가락 정맥 인식 연구)

  • Park, Kang-Ryoung;Jang, Young-Kyoon;Kang, Byung-Jun
    • The KIPS Transactions:PartB
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    • v.15B no.4
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    • pp.275-284
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    • 2008
  • With increases in recent security requirements, biometric technology such as fingerprints, faces and iris recognitions have been widely used in many applications including door access control, personal authentication for computers, internet banking, automatic teller machines and border-crossing controls. Finger vein recognition uses the unique patterns of finger veins in order to identify individuals at a high level of accuracy. This paper proposes new device and methods for touchless finger vein recognition. This research presents the following five advantages compared to previous works. First, by using a minimal guiding structure for the finger tip, side and the back of finger, we were able to obtain touchless finger vein images without causing much inconvenience to user. Second, by using a hot mirror, which was slanted at the angle of 45 degrees in front of the camera, we were able to reduce the depth of the capturing device. Consequently, it would be possible to use the device in many applications having size limitations such as mobile phones. Third, we used the holistic texture information of the finger veins based on a LBP (Local Binary Pattern) without needing to extract accurate finger vein regions. By using this method, we were able to reduce the effect of non-uniform illumination including shaded and highly saturated areas. Fourth, we enhanced recognition performance by excluding non-finger vein regions. Fifth, when matching the extracted finger vein code with the enrolled one, by using the bit-shift in both the horizontal and vertical directions, we could reduce the authentic variations caused by the translation and rotation of finger. Experimental results showed that the EER (Equal Error Rate) was 0.07423% and the total processing time was 91.4ms.

A study on design and performance test of fire door with high endurance performance in submarine tunnel (고내구성능을 갖는 해저터널 방화문 설계방안 및 성능시험 연구)

  • Park, Sang-Heon;Hwang, Ju-Hwan;Choi, Young-Hwan;An, Sung-Joo;Yoo, Yong-Ho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.2
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    • pp.331-346
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    • 2018
  • In the tunnel of domestic high - speed railway, the main fire - fighting facility, fire - extinguishing passageway, is installed. However, due to the high pressure of the high - speed train, frequent breakage and maintenance are caused by strong shock and long - term vibration. In order to solve these problems, it is necessary to improve the fire door, but in Korea, it is installed by submitting a certificate by simple KS F 2296 performance test. At present, it is developed as a simple test certification by producing a real scale fireproof door without the theoretical examination in advance, so that a high cost for improvement is occurring in Korea. Therefore, through this study, structural analysis study which can preliminary structure review was carried out in order to design the refuge connection passage fire door and to improve the performance improvement. In order to secure the reliability of the result value, the official authentication test (KS F 2296) were compared.

A Study on the Factors Effecting Performance and Correlation in Social Enterprises (사회적기업의 성과 영향요인과 상관관계에 관한 연구)

  • Kim, Hee-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.342-349
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    • 2017
  • The purpose of this study is to empirically analyze factors which influence social and economic performance of social enterprises, and to examine the correlation of factors affecting social and economic performance. This study was conducted following the hypothesis that the organizational characteristics(organizational type, certification type, certification year, social service supply type, and external grants) of social enterprises affect social and economic performance, and that significant correlation exists between social and economic performance. This study collected the disclosure materials of 219 social enterprises certified between 2007- 2014 from the directory of the Korean Social Enterprise Promotion Agency. The study results are as follows: First, organizational characteristics affect social performance(i.e. jobs for the vulnerable classes). In addition, certification year and external grants had a positive effect on social performance. Second, the organizational characteristics affect the economic performance(i.e. sales), and certification year and external grants had a positive effect on economic performance. However, organizational type had a negative effect on the economic performance(i.e. sales). Third, analysis found a positive correlation of factors affecting social and economic performance. This study suggests the need to diversify support policies according to the number of authentication years in order to promote self-reliance and sustainability by maximizing the social and economic performance of social enterprises.