• Title/Summary/Keyword: biometric information

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A Biometric-based User Authentication and Key Agreement Scheme for Heterogeneous Wireless Sensor Networks

  • Chen, Ying;Ge, Yangming;Wang, Wenyuan;Yang, Fengyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.4
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    • pp.1779-1798
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    • 2018
  • Heterogeneous wireless sensor networks (HEWSN) is a kind of wireless sensor networks (WSN), each sensor may has different attributes, HEWSN has been widely used in many aspects. Due to sensors are deployed in unattended environments and its resource constrained feature, the design of security and efficiency balanced authentication scheme for HEWSN becomes a vital challenge. In this paper, we propose a secure and lightweight user authentication and key agreement scheme based on biometric for HEWSN. Firstly, fuzzy extractor is adopted to handle the user's biometric information. Secondly, we achieve mutual authentication and key agreement among three entities, which are user, gateway and cluster head in the four phases. Finally, formal security analysis shows that the proposed scheme defends against various security pitfalls. Additionally, comparison results with other surviving relevant schemes show that our scheme is more efficient in term of computational cost, communication cost and estimated time. Therefore, the proposed scheme is well suitable for practical application in HEWSN.

Integration of PKI and Fingerprint for User Authentication

  • Shin, Sam-Bum;Kim, Chang-Su;Chung, Yong-Wha
    • Journal of Korea Multimedia Society
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    • v.10 no.12
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    • pp.1655-1662
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    • 2007
  • Although the PKl-based user authentication solution has been widely used, the security of it can be deteriorated by a simple password. This is because a long and random private key may be protected by a short and easy-to-remember password. To handle this problem, many biometric-based user authentication solutions have been proposed. However, protecting biometric data is another research issue because the compromise of the biometric data will be permanent. In this paper, we present an implementation to improve the security of the typical PKI-based authentication by protecting the private key with a fingerprint. Compared to the unilateral authentication provided by the typical biometric-based authentication, the proposed solution can provide the mutual authentication. In addition to the increased security, this solution can alleviate the privacy issue of the fingerprint data by conglomerating the fingerprint data with the private key and storing the conglomerated data in a user-carry device such as a smart card. With a 32-bit ARM7-based smart card and a Pentium 4 PC, the proposed fingerprint-based PKI authentication can be executed within 1.3second.

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The implementation of Biometric System using RF-ID (RF(RF-ID)을 이용한 Biometric System 구현에 관한 연구)

  • 김광환;김영길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.626-629
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    • 2003
  • In this paper, a system that implementation of Biometric System Using RF-ID. We organize a certification system which the security is strengthened, the information is flowed out and the presentation will do the possibility not to be abused. The loss of the credit card and problems which there is many of forgery back are happening. To solve such problems, We organized the system to use after we stored a fingerprint data at RF Card and going through certification necessary formalities. Various research to be related uses this system and is predicted. The development to common use goods will be possible through a certification procedure.

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Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.107-113
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    • 2016
  • In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

An Watermarking Algorithm for Multimodal Biometric Systems (다중 생체인식 시스템에 적합한 워터마킹 알고리즘)

  • Moon, Dae-Sung;Jung, Seung-Hwan;Kim, Tae-Hae;Chung, Yong-Wha;Moon, Ki-Young
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.15 no.4
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    • pp.93-100
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    • 2005
  • In this paper, we describe biometric watermarking techniques for secure user verification on the remote, multimodal biometric system employing both fingerprint and face information, and compare their effects on verification accuracy quantitatively. To hide biometric data with watermarking techniques, we first consider possible two scenarios. In the scenario 1, we use a fingerprint image as a cover work and hide facial features into it. On the contrary, we hide fingerprint features into a facial image in the Scenario 2. Based on the experimental results, we confirm that the Scenario 2 is superior to the Scenario 1 in terms of the verification accuracy of the watermarking image.

Bio-Sensing Convergence Big Data Computing Architecture (바이오센싱 융합 빅데이터 컴퓨팅 아키텍처)

  • Ko, Myung-Sook;Lee, Tae-Gyu
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.2
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    • pp.43-50
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    • 2018
  • Biometric information computing is greatly influencing both a computing system and Big-data system based on the bio-information system that combines bio-signal sensors and bio-information processing. Unlike conventional data formats such as text, images, and videos, biometric information is represented by text-based values that give meaning to a bio-signal, important event moments are stored in an image format, a complex data format such as a video format is constructed for data prediction and analysis through time series analysis. Such a complex data structure may be separately requested by text, image, video format depending on characteristics of data required by individual biometric information application services, or may request complex data formats simultaneously depending on the situation. Since previous bio-information processing computing systems depend on conventional computing component, computing structure, and data processing method, they have many inefficiencies in terms of data processing performance, transmission capability, storage efficiency, and system safety. In this study, we propose an improved biosensing converged big data computing architecture to build a platform that supports biometric information processing computing effectively. The proposed architecture effectively supports data storage and transmission efficiency, computing performance, and system stability. And, it can lay the foundation for system implementation and biometric information service optimization optimized for future biometric information computing.

Optical encryption and decryption of image information by use of nail bed patterns (생체신호인 조상(nail bed)패턴을 이용한 영상정보의 광 암호화 및 복호화)

  • 김용우;김태근
    • Korean Journal of Optics and Photonics
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    • v.15 no.2
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    • pp.114-122
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    • 2004
  • In this paper, we proposed an optical encryption and decryption technique that uses a nail bed pattern as a key-code. Since the technique uses a nail bed pattern that is a biometric signal of an encryptor, the technique is robust about a fake key or illegal use of a key. In addition to this, the encrypted image contains the biometric information of the encryptor. This makes the proposed technique also be applied to authentication.

Analysis on international financial biometric adoption cases and propose a scheme for korean financial telebiometrics (한국형 금융 바이오 인식 기술 도입을 위한 분석 및 방안연구)

  • Shin, Yong-Nyuo;Chun, Myung Geun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.3
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    • pp.665-672
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    • 2015
  • In this paper, we analyze the international financial biometric adoption cases in smart phones and ATMs and propose a scheme for Korean financial telebiometrics. Regional privacy issues, financial services environment, according to the differences in the direction of government policy introducing biometric aspects were appearing differently. In Korea, due to changes in fin-tech vitalization and outstanding convenience mobile oriented service to the regulatory environment, the introduction of biometric technology is the point that is being actively discussed. In this paper, we propose a scheme for the Korean banking financial sector through the introduction of biometric technology adoption case analysis of each country. Thus, this paper is intended to help that the financial sector makes a precise decision when it is establishes a policy of biometric technology application for electronic financial services.

A biometric information collecting system for biomedical big data analysis (생체 의학 빅 데이터 분석을 위한 생체 정보 수집 시스템)

  • Lim, Damsub;Hong, Sunhag;Ku, Mino;Min, Dugki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.513-516
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    • 2013
  • In this paper, we present an information collecting system in medical information management domain. Our proposed system performs a systemized process, consisting of collection, transmission, and management, to develop intelligent medical information system and medical big data processing system. Our information collecting system consists of low-power biomedical sensors, biomedical information collecting devices, and storage systems. Currently, almost biomedical information of patients is collected manually by employees like nurses and medical doctors. Therefore, collected biometric data can be error-pronoun data. Since there is a lack to make big data of medical information, it is difficult to enhance the quality of medical services and researches. Accordingly, through our proposed system, we can overcome the problems like error-pronoun biometric data. In addition, we can extremely extend the area of collectable biometric data. Furthermore, using this system, we are able to make a real-time biomedical analysis system, like a real-time patient diagnosis system, and establish a strategy to against future medical markets changing rapidly.

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Watermarking Algorithm for Biometric image authentication (생체정보 인증을 위한 위.변조 검출 가역 워터마킹 알고리즘)

  • Lee, Hyo-Bin;Kim, Seong-Wan;Lim, Jae-Hyuck;Lee, Sang-Youn
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.453-454
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    • 2006
  • In this paper, we propose an invertible biometric image watermarking algorithm which can detect block-wise malicious manipulations. The proposed method embeds two types of watermark. The first type can completely remove distortion due to authentication if the data is deemed authentic. The second type can detect block-wise malicious manipulation by applying the parity bits concept to biometric image blocks.

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