• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.50-56
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• 2009

Recently, according to the product variety of multimedia content some problems are occurred as like an illegal copying, an illegal distribution and a copyright infringement etc. So, for the solution of these problems, some methods were proposed as like watermarking which inserts the information of copyright to the content and the cipher for authentication to DRM which prevents an illegal copying using RSA. In this paper, the multimedia fingerprint based on BIBD code is inserted to the bit-plane of the image content for DRM with RSA, and while the decoding processing. The experiment is operated with the consideration of the image transmission and the transformation. As a result it confirmed that the multimedia fingerprint code inserted in image is detected 60% upper at AWGN 7dB and detected completely 100% at AWGN 10dB upper on PSNR 30, 40, 70 and 80 of Stirmark attacks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6152-6168
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• 2017

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.189-190
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• 2023

IT 산업의 발전으로 인하여, 이동식 저장장치의 빠른 발전에도 불구하고, 대중적으로 사용되는 USB 저장 장치의 분실 및 탈취로 인한 민감 데이터의 노출 문제가 발생하였다. 이러한 문제점을 해결하기 위하여, 다양한 인증 방식을 적용한 보안 USB 저장장치가 등장하였지만, 소프트웨어의 구조적인 문제점으로 인하여, 사용자 인증정보를 검증하는 함수가 노출되는 것과 같은 인증 과정에서 발생하는 취약점을 악용함으로써, 보안 USB 저장장치에 안전하게 저장된 민감한 데이터를 보호하지 못하는 보안 위협이 발생하는 실정이다. 따라서 본 논문에서는 보안 USB 저장장치 중, F 제품을 대상으로, 지문 인증과정에서 발생하는 취약점을 분석하고 실증한다. 본 논문의 결과는 보안 USB 저장장치의 데이터 보호 및 인증기술을 더욱 안전하게 향상시키기 위한 참고 자료로 활용될 것으로 사료된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.631-646
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• 2020

The government is pursuing a policy to remove plug-ins for public and private websites to create a convenient Internet environment for users. In general, financial institution websites that provide financial services, such as banks and credit card companies, operate fraud detection system(FDS) to enhance the stability of electronic financial transactions. At this time, the installation software is used to collect and analyze the user's information. Therefore, there is a need for an alternative technology and policy that can collect user's information without installing software according to the no-plug-in policy. This paper introduces the device fingerprinting that can be used in the standard web environment and suggests a guideline to select from various techniques. We also propose a user authentication model using device fingerprints based on machine learning. In addition, we actually collected device fingerprints from Chrome and Explorer users to create a machine learning algorithm based Multi-class authentication model. As a result, the Chrome-based Authentication model showed about 85%~89% perfotmance, the Explorer-based Authentication model showed about 93%~97% performance.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.904-919
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• 2019

Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. These security solutions can be easily manipulated by malicious users who can gain unlawful access. Some security systems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints with clay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require any special training on the part of the user. In this paper, we propose a multi-factor security framework that operates in a three-step process to authenticate the user. The motivation of the research lies in utilizing commonly available and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fully secure user authentication. We have used technologies such as Argon2 for hashing image features and physically unclonable identification for secure device-server communication. We also discuss the methodological workflow of the proposed multi-factor authentication framework. In addition, we present the service scenario of the proposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-art methods to evaluate the usability of the model in real-world applications.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.279-284
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• 2004

Fingerprints have been widely used in the biometric authentication because of its performance, uniqueness and universality. Recently, the speed of identification becomes a very important point in the fingerprint-based security applications. Also, the reliability still remains the main issue in the fingerprint identification. In this paper, we propose the fast and reliable fingerprint matching algorithm based on the process of the 'self-nonself' discrimination in the biological immune system. The proposed algorithm is organized by two-matching stage. The 1st matching stage does the matching process by the use of the 'self-space' and MHC detector string set that are generated from the minutiae and the values of the directional field. Then the 2nd matching stage is made based on the local-structure of the minutiae. The proposed two matching stage reduces matching time while the reliability of the matching algorithm is maintained.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.421-429
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• 2002

컴퓨터 및 네트워크의 기술 발전과 더불어 보안에 대한 필요성이 증가하고 있다. 이를 해결하기 위한 한 방법으로 지문이 개인의 식별 및 인증 수단으로 사용되고 있다. 본 논문에서는 신뢰도를 적용하여 보다 효율적이고, 믿을 수 있는 특징점 기반의 지문인식 시스템을 제안 및 구현한다. 마지막으로 제안된 시스템에 대한 성능 및 안전성을 분석을 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.6
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• pp.43-50
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• 2007

In this paper we propose a method that identifies users at H.264 streaming using watermarking with fingerprints. The watermark can efficiently reduce the potential danger of forgery or alteration. Especially a biometric watermark has various advantages. Among entire biometric characteristics, the fingerprint is the most convenient and economical. In this paper we propose a novel fingerprint-based watermarking technique that can survive under very low bit-rate compression. The proposed algorithm consists of enhancement of a fingerprint image, the watermark generation using the extracted feature coordinates, watermark insertion using discrete wavelet transform, and authentication. The proposed algorithm can achieve robust watermark extraction against 0.264 compressed videos.

• Smart Media Journal
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• v.6 no.3
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• pp.29-40
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• 2017

Lately weight for smartphone mounted to function for NFC is increasing, rapidly. Because of this, NFC related technology is made by many companies. We developed Gallery-Auction for security enhancements and new services of NFC-based 2 factor electronic payment system. Enhanced security features development of user authentication module through fingerprint recognition to apply FIDO authentication technology and developed electronic contract voice service of Gallery-Auction using TTS(Text to Speech). Therefore we enhanced convenient and simple authentication method and security through NFC mobile electronic payment.

• Food Science of Animal Resources
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• v.42 no.5
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• pp.744-761
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• 2022

The liquid chromatography mass spectrometry (LC-MS)-based metabolomic and lipidomic methodology has great sensitivity and can describe the fingerprint of metabolites and lipids in pork and beef. This approach is commonly used to identify and characterize small molecules such as metabolites and lipids, in meat products with high accuracy. Since the metabolites and lipids can be used as markers for many properties of a food, they can provide further evidence of the foods authenticity claim. Chromatography coupled to mass spectrometry is used to separate lipids and metabolites from meat samples. The research data usually is compared to lipid and metabolite databases and evaluated using multivariate statistics. LC-MS instruments directly connected to the metabolite and lipid databases software can be used to assess the authenticity of meat products. LC-MS has good selectivity and sensitivity for metabolomic and lipidomic analysis. This review highlighted the combination of metabolomics and lipidomics can be used as a reference for analyzing authentication meat products.