• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.40 no.6
• /
• pp.237-246
• /
• 2003

To acquire certificate of security evaluation for information protection Products, it is necessary for a designer to grasp the threats listed in a protection profile and to reflect them in the product design. BDPP is a protection profile for the biometric devices. In this paper, we applied BDPP to a Match-on-Card, and ertracted some security requirements to protect biometric data against threats. We also studied some countermeasures satisfying the security requirements.

• Review of KIISC
• /
• v.12 no.2
• /
• pp.1-6
• /
• 2002

인터넷의 급속한 성장으로 인하여 안정적인 보안수준을 제공하면서 사용이 편리한 사용자 인증 시스템의 필요성이 대두되었다. 90년대까지 사용자 인증 수단으로 많이 사용되던 개인장치나 비밀번호 등은 분실 가능성 및 도용의 위험이 있어 보안이 중요한 환경에서는 사용상의 제약이 따른다. 그러므로 이러한 제약을 보완할 수 있는 생체정보를 이용한 사용자 인증에 대한 관심이 꾸준히 증가하고 있으나, 생체정보는 비밀번호와 같이 사용자가 임의로 변경할 수 없으므로 외부로 유출된다면 심각한 문제가 발생할 수 있다. 본 고에서는 생체정보를 중앙 데이터베이스에 저장하지 않고 사용자가 휴대할 수 있는 IC 카드에 저장하고, 생체정보를 이용한 사용자 인증 과정도 IC 카드 내부의 프로세서를 이용하여 수행하는 Match-on-Card 기술 개발에 관하여 설명한다.

• ETRI Journal
• /
• v.28 no.3
• /
• pp.320-328
• /
• 2006

Using biometrics to verify a person's identity has several advantages over the present practice of personal identification numbers (PINs) and passwords. To gain maximum security in a verification system using biometrics, the computation of the verification as well as the storing of the biometric pattern has to take place in a smart card. However, there is an open issue of integrating biometrics into a smart card because of its limited resources (processing power and memory space). In this paper, we propose a speaker verification algorithm using a support vector machine (SVM) with a very few features, and implemented it on a 32-bit smart card. The proposed algorithm can reduce the required memory space by a factor of more than 100 and can be executed in real-time. Also, we propose a hardware design for the algorithm on a field-programmable gate array (FPGA)-based platform. Based on the experimental results, our SVM solution can provide superior performance over typical speaker verification solutions. Furthermore, our FPGA-based solution can achieve a speed-up of 50 times over a software-based solution.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.4
• /
• pp.349-354
• /
• 2014

PIN(Personal Identification Number)-based identification method has been used to identify the user of smart cards. However, this type of identification method has several problems. Firstly, PIN can be forgotten by owners of the card. Secondly, PIN can be used by others illegally. Furthermore, the possibility of hacking PIN can be high because this PIN type matching process is performed on terminal. Thus, in this paper we suggest a new identification method which is performed on smart card using face feature information. The proposed identification method uses low-sized face feature vectors and simple matching algorithm in order to get around the limits in computing capability and memory size of smart card.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06a
• /
• pp.116-119
• /
• 2011

Mobile devices are increasingly used, and changed persons' social habits of creating new relationship. While existed systems can not satisfied the principles of user-centered, convenient and ensure privacy. This paper describes an intelligent name-card exchange technique in context-aware smart phone, which has no verbose user operation, ability of intelligent match based on context-aware information, and privacy protection.

• Journal of the Korea Convergence Society
• /
• v.11 no.10
• /
• pp.45-51
• /
• 2020

Recently, many games provide data related to the users' game play, and there have been a few studies that predict opponent move by combining machine learning methods. This study predicts opponent move using match data of a real-time strategy game named ClashRoyale and a multi-label classification based on machine learning. In the initial experiment, binary card properties, binary card coordinates, and normalized time information are input, and card type and card coordinates are predicted using random forest and multi-layer perceptron. Subsequently, experiments were conducted sequentially using the next three data preprocessing methods. First, some property information of the input data were transformed. Next, input data were converted to nested form considering the consecutive card input system. Finally, input data were predicted by dividing into the early and the latter according to the normalized time information. As a result, the best preprocessing step was shown about 2.6% improvement in card type and about 1.8% improvement in card coordinates when nested data divided into the early.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.10
• /
• pp.5130-5143
• /
• 2019

Football (soccer) is one of the most popular sports in the world. A huge number of people watch live football matches by TV or Internet. A football match takes 90 minutes, but viewers may only want to watch a few highlights to save their time. As far as we know, there is no such a product that can be put into use to achieve intelligent highlight extraction from live football matches. In this paper, we propose an intelligent editing system for live football matches. Our system can automatically extract a series of highlights, such as goal, shoot, corner kick, red yellow card and the appearance of star players, from the live stream of a football match. Our system has been integrated into live streaming platforms during the 2018 FIFA World Cup and performed fairly well.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.40 no.6
• /
• pp.39-46
• /
• 2003

Biometric technologies using biometric information like fingerprints features are in wide use for the secure user authentication in many services including log-in of computer systems, entrance ID and E-commercial security. Nowadays, biometric technologies are ported into small embedded systems like security tokens or smart cards due to the merit of being secure and automatic in comparison with the previous method in user authentication such as using a PIN. In this paper, the security token developed as an embedded system and tile user authentication system implemented and tested using fingerprints information are described. Communications between the security token and tile host are tested and verified with USB. And, execution time and runtime memory on tile security token board was measured and performance improvement was described. In addition, requisites for the transit from the security token to the match-on-card was mentioned.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06c
• /
• pp.331-333
• /
• 2006

중요한 정보의 저장 및 보호하는 기능을 제공하는 스마트카드가 온라인/오프라인에서 대규모 응용에 사용되기 위해서는 강력한 사용자 인증이 요구된다. 이러한 요구는 생체정보의 사용으로 그 효과를 볼 수 있는데, 생체정보의 사용은 사용자 인증을 강력하게 할 뿐만 아니라 외우지 않아도 되는 편리한 비밀키를 제공한다. 동시에 중요한 개인정보인 생체정보 및 처리중의 정보를 스마트카드에 의해서 보호받는 MoC(Match on Card) 방식을 적용받게 된다. 그러나 기존의 MoC방식의 인증 및 키 추출과정에서는 생체정보를 추출하는 과정/방법이 키값의 획일성을 보장하지 못한다는 한계점을 그대로 가지고 있다. 따라서 본 논문에서는 퍼지볼트 스킴을 이용하여 키의 획일성을 확보하면서 생체정보에 대한 보호를 강화시키는 동시에 사용자 인증을 처리하는 방안을 연구하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.14 no.1
• /
• pp.34-40
• /
• 2014

Today, with the wide use of mobile devices, the amount of business transactions conducted through such devices is increasing drastically. However, there are several limitations in the area of authentication for mobile use, which requires strong authentication mechanisms to satisfy security and convenience requirements. The proposed model and application system provide a framework to ensure the security and reliability of the flow of biometric information for telebiometric applications using mobile devices. We also specify protocols for each model and implement a mobile telebiometric application to improve security vulnerabilities compared to storage in a microSD match on card (MOC) based on the proposed model. As a consequence of this implementation, we propose substantial guidelines for security countermeasures from both technical and managerial perspectives in order to establish a safe mobile environment for the use of telebiometric systems.