• Annual Conference of KIPS
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• 2012.11a
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• pp.969-972
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• 2012

기존의 CCTV와는 달리 IP Camera는 네트워크에 유선 또는 무선으로 직접 연결되며 IP Camera에 임베디드된 웹 서버를 통하여 서비스를 제공한다. 한 건물 또는 지역 안에는 다수의 IP Camera가 설치될 수 있다. 이때 각 각의 IP Camera에 웹 서버가 존재하기 때문에 웹서버 마다 다른 key를 가지고 관리하게 되어 서버 관리에 있어서 비효율적이다. 또한 단순 ID, Password로 사용자 인증을 하며 별도의 암호화 과정을 거치지 않기 때문에 취약점을 갖는다. 따라서 본 논문에서는 그룹 키를 이용하여 다수의 웹 서버의 키를 관리하고 PKI 암호를 통하여 사용자 인증 및 세션 키를 생성함으로써 위장 공격, 기밀성, 무결성, 재사용 공격 등의 보안 취약점을 강화한다.

• 한국ITS학회:학술대회논문집
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• 2004.11a
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• pp.384-387
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• 2004

• Annual Conference of KIPS
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• 2016.04a
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• pp.253-255
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• 2016

정보통신의 발달로 인하여 사물간의 필요한 모든 정보를 상호작용하는 IoT(Internet of Thing)환경이 발전하고 있다. 홈 IoT환경에서는 스마트폰 어플리케이션을 통하여 집안 내부를 살펴보고 외부 침입자가 들어오면 이를 감지, 신고할 수 있는 IP Camera의 수요가 증가되고 있다. 그러나 IP Camera의 해킹 사례가 증가 하고 있고 취약한 인증, 잠재적인 공격 가능성 등 보안문제가 발견되었다. 이에 본 논문에서는 대중적으로 많이 사용되고 있는 IP Camera와 Smart Phone과의 안전한 사용자 인증 프로토콜을 제안하였다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.2
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• pp.1-9
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• 2008

As the security requirements of mobile phones have been increasing, there have been extensive researches using one biometric feature (e.g., an iris, a fingerprint, or a face image) for authentication. Due to the limitation of uni-modal biometrics, we propose a method that combines face and iris images in order to improve accuracy in mobile environments. This paper presents four advantages and contributions over previous research. First, in order to capture both face and iris image at fast speed and simultaneously, we use a built-in conventional mega pixel camera in mobile phone, which is revised to capture the NIR (Near-InfraRed) face and iris image. Second, in order to increase the authentication accuracy of face and iris, we propose a score level fusion method based on SVM (Support Vector Machine). Third, to reduce the classification complexities of SVM and intra-variation of face and iris data, we normalize the input face and iris data, respectively. For face, a NIR illuminator and NIR passing filter on camera are used to reduce the illumination variance caused by environmental visible lighting and the consequent saturated region in face by the NIR illuminator is normalized by low processing logarithmic algorithm considering mobile phone. For iris, image transform into polar coordinate and iris code shifting are used for obtaining robust identification accuracy irrespective of image capturing condition. Fourth, to increase the processing speed on mobile phone, we use integer based face and iris authentication algorithms. Experimental results were tested with face and iris images by mega-pixel camera of mobile phone. It showed that the authentication accuracy using SVM was better than those of uni-modal (face or iris), SUM, MAX, NIN and weighted SUM rules.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.187-190
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• 2012

This paper proposes an one-time authentication system for web applications by making use of the quick-response code, which is widely used nowadays. The process is not time-consuming. It does not require any browser extensions or specific hardware to complete a task. The system uses QR code which is basically a two-dimensional black and white image encoding a piece of digital information. When a user logs into a site, the web server will generate a challenge encoded to form a QR code. The user captures a picture of QR code with a mobile camera which results in decoding the QR code. The challenge shall be sent back to the server; the web server then logs the PC browser in. The authentication using Challenge-Response is easy to understand and the process is fast. The system proposes the improvement of usability and security of online authentication.

• Advances in environmental research
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• v.12 no.2
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• pp.113-122
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• 2023

Biometric authentication has become an essential part of modern-day security systems, especially in financial institutions like banks. A face recognition-based ATM is a biometric authentication system, that uses facial recognition technology to verify the identity of bank account holders during ATM transactions. This technology offers a secure and convenient alternative to traditional ATM transactions that rely on PIN numbers for verification. The proposed system captures users' pictures and compares it with the stored image in the bank's database to authenticate the transaction. The technology also offers additional benefits such as reducing the risk of fraud and theft, as well as speeding up the transaction process. However, privacy and data security concerns remain, and it is important for the banking sector to instrument solid security actions to protect customers' personal information. The proposed system consists of two stages: the first stage captures the user's facial image using a camera and performs pre-processing, including face detection and alignment. In the second stage, machine learning algorithms compare the pre-processed image with the stored image in the database. The results demonstrate the feasibility and effectiveness of using face recognition for ATM authentication, which can enhance the security of ATMs and reduce the risk of fraud.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.8-14
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• 2020

Recently, there was an increasing demand for an integrated access control system which is capable of user recognition, door control, and facility operations control for smart buildings automation. The market available door lock access control solutions need to be improved from the current level security of door locks operations where security is compromised when a password or digital keys are exposed to the strangers. At present, the access control system solution providers focusing on developing an automatic access control system using (RF) based technologies like bluetooth, WiFi, etc. All the existing automatic door access control technologies required an additional hardware interface and always vulnerable security threads. This paper proposes the user identification and authentication solution for automatic door lock control operations using camera based visible light communication (VLC) technology. This proposed approach use the cameras installed in building facility, user smart devices and IoT open source controller based LED light sensors installed in buildings infrastructure. The building facility installed IoT LED light sensors transmit the authorized user and facility information color grid code and the smart device camera decode the user informations and verify with stored user information then indicate the authentication status to the user and send authentication acknowledgement to facility door lock integrated camera to control the door lock operations. The camera based VLC receiver uses the artificial intelligence (AI) methods to decode VLC data to improve the VLC performance. This paper implements the testbed model using IoT open-source based LED light sensor with CCTV camera and user smartphone devices. The experiment results are verified with custom made convolutional neural network (CNN) based AI techniques for VLC deciding method on smart devices and PC based CCTV monitoring solutions. The archived experiment results confirm that proposed door access control solution is effective and robust for automatic door access control.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.38-42
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• 2016

In this paper, we propose 3-factor mobile banking authentication scheme applied to face recognition techniques with existing certificate and OTP. An image of the user's face is captured by smart phone camera and its brightness processing of the contour of a face and background by n of X and Y points. Then, distance between the point of eyes, nose and mouth from captured user's face are compared with stored facial features. When the compared results corresponding to the data that stored in a face recognition DB, the user is authenticated.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.67-74
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• 2020

As the information age develops, Online education and Non-face-to-face work are becoming common. Telecommuting such as tele-education and video conferencing through the application of information technology is also becoming common due to the COVID-19. Unexpected information leakage can occur online when the company conducts work remotely or holds meetings. A system to authenticate users is needed to reduce information leakage. In this study, there are various ways to authenticate remote access users. By applying burn authentication using a biometric system, a method to identify users is proposed. The method used in the study was studied the main component analysis method, which recognizes several characteristics in facial recognition and processes interrelationships. It proposed a method that can be easily utilized without additional devices by utilizing a camera connected to a computer by authenticating the user using the shape and characteristics of the face by using the PCA method.

• Journal of the Korea Convergence Society
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• v.8 no.2
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• pp.9-14
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• 2017

A fingerprint is unique to each person and can be represented as a digital form. As the fingerprint is the part of human body, fingerprint recognition is much more easy to use and secure rather than using password or resident card for user authentication. In addition, as the newly released smart phones have built-in camera and fingerprint sensors, the demand for biometric authentication is increasing rapidly. But, the drawback is that the fingerprint can be counterfeited easily and if it's exposed to the hacker, it cannot be reused. Thus, the original fingerprint template should be transformed for registration and authentication purposes. Existing transformation functions use passcode to transform the original template to the cancelable form. Additional module is needed to input the passcode, so it requires more cost and lowers the usability. In this paper, we propose biometric authentication scheme that is economic and easy to use. The proposed scheme is consisted of cancelable biometric template creation, registration and user authentication protocols, and can control several security levels by configuring the number of fingerprints and scan times. We also analyzed that our scheme is secure against the brute-force attack and the active attacks.