• 제목/요약/키워드: Fingerprints

검색결과 371건 처리시간 0.023초

지문 영상 복원 기반의 스마트 기기 지문 스머지 공격 연구 (Fingerprint Smudge Attacks Based on Fingerprint Image Reconstruction on Smart Devices)

  • 이호연;권태경
    • 정보보호학회논문지
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    • 제27권2호
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    • pp.233-240
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    • 2017
  • 지문 인증은 개인의 고유한 지문 특징 정보를 바탕으로 사용자를 식별하기 때문에 유출이나 분실, 망각의 위험이 없으며 편리하고 안전하여 여러 스마트 기기에 적용되고 있다. 하지만 스마트 기기를 사용한 후 남아있는 지문의 흔적은 스머지 공격에 취약하다. 본 논문에서는 사용자의 스마트 기기 사용 패턴을 분석하고 스마트 기기에 남아있는 지문 스머지를 이용하여 손상된 지문 영상을 복원하는 기법을 제안한다. 스마트 기기 사용 시 빈번하게 보이는 행동 패턴으로 구성된 시나리오에서 지문 스머지를 수집 및 복원하였으며 복원 지문 영상을 이용한 스머지 공격의 유효성에 대하여 실험하였다. 실험 결과, 지문 인증 시스템에서 높은 공격 성공률을 보였으며 스머지 공격에 취약함을 실증적으로 검증하였다.

A Multi-Level Integrator with Programming Based Boosting for Person Authentication Using Different Biometrics

  • Kundu, Sumana;Sarker, Goutam
    • Journal of Information Processing Systems
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    • 제14권5호
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    • pp.1114-1135
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    • 2018
  • A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

Identification of Novel Cupredoxin Homologs Using Overlapped Conserved Residues Based Approach

  • Goyal, Amit;Madan, Bharat;Hwang, Kyu-Suk;Lee, Sun-Gu
    • Journal of Microbiology and Biotechnology
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    • 제25권1호
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    • pp.127-136
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    • 2015
  • Cupredoxin-like proteins are mainly copper-binding proteins that conserve a typical rigid Greek-key arrangement consisting of an eight-stranded β-sandwich, even though they share as little as 10-15% sequence similarity. The electron transport function of the Cupredoxins is critical for respiration and photosynthesis, and the proteins have therapeutic potential. Despite their crucial biological functions, the identification of the distant Cupredoxin homologs has been a difficult task due to their low sequence identity. In this study, the overlapped conserved residue (OCR) fingerprint for the Cupredoxin superfamily, which consists of conserved residues in three aspects (i.e., the sequence, structure, and intramolecular interaction), was used to detect the novel Cupredoxin homologs in the NCBI non-redundant protein sequence database. The OCR fingerprint could identify 54 potential Cupredoxin sequences, which were validated by scanning them against the conserved Cupredoxin motif near the Cu-binding site. This study also attempted to model the 3D structures and to predict the functions of the identified potential Cupredoxins. This study suggests that the OCR-based approach can be used efficiently to detect novel homologous proteins with low sequence identity, such as Cupredoxins.

발생원별에 따른 PAHs 배출특성 (PAHs Source Fingerprints for Municipal Incinerator, Motor Vehicle Fuels and Industrial Boilers Emission)

  • 박찬구;윤중섭;김민영;손종열;모세영
    • 한국대기환경학회지
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    • 제20권3호
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    • pp.331-343
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    • 2004
  • The results of individual PAH source profiles that can be applied to receptor model are as follows. The sum of 16 PAH concentrations was 391.41 ng/S㎥ in a tunnel. Phenanthrene was the most abundant compound among 16 PAH, and then pyrene, fluoranthene, anthracene, and naphthalene can be seen in elevated contents. 11,056.61 ng/S㎥ of 16 PAH concentrations in BC oil boiler was two times higher than 6,582.57 ng/S㎥) of those in LNG boiler. Naphthalene was the most abundant compound in both facilities. Phenanthrene, anthracene, and acenaphthylene were the second dominant compound group in order from both facilities. BC oil boiler had relatively high concentration of pyrene compared to LNG boiler that had high concentration of fluorene and did not detect pyrene. The sum of 16 PAH concentrations emitted from MSW incinerators after APCD (air pollution control device) was three times higher than those from MSW incinerators before APCD. However, the concentrations of more than 4-ring PAH compounds (e.g., benzo (a)anthracene) before APCD were higher than those after APCD. This fact implies that PAHs generated by combustion process are eliminated in APCD and they are continuously produced in stack or atmosphere by PAHs precursors.

HPLC-UV에 의한 진득찰과 털진득찰의 Kirenol 정량분석 (Quantitative Analysis of Kirenol in Siegesbeckia glabrescens and S. pubescens by HPLC-UV)

  • 누그로호 아궁;이경태;박희준
    • 생약학회지
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    • 제43권4호
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    • pp.286-290
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    • 2012
  • Many diterpenoids from Siegesbeckia species (Compositae) and their anti-inflammatory actions have been examined. In this research, high-performance liquid chromatography-ultraviolet spectrophotometer (HPLC-UV) method was used to compare the quantitative level of kirenol (ent-pimarane-type diterpenoid) in the aerial parts of Korean S. glabrescens and S. pubescens and the Chinese Siegesbeckiae Herba. Fingerprints of the two HPLC chromatograms of Korean S. glabrescens and S. pubescens were similar, but considerably different from Chinese Siegesbeckiae Herba. The content of kirenol in S. pubescens ($16.51{\pm}0.10$ mg/ml dry weight as mean${\pm}$RSD) was higher than S. glabrescens ($13.48{\pm}0.12$ mg/g dry weight). These values were considerably higher than the Chinese Siegesbeckiae Herba ($1.55{\pm}0.74$ mg/g dry weight). Thin layer chromatography (TLC) analysis demonstrated the containing of kirenol in the three plant materials, but the presence of siegeskaurolic acid (entkaurane-type diterpenoid) only in the Chinese Siegesbeckiae Herba.

Chemotype Discrimination and Rapid Identification of Angelica Roots by DART-TOF-MS

  • Kim, Hye-Jin;Piao, Xiang-Lan;Jang, Young-Pyo
    • Natural Product Sciences
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    • 제17권3호
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    • pp.202-205
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    • 2011
  • The Angelica root has been used as a medicinal herb in many Asian countries including Korea, China, and Japan. Angelica gigas, A. sinensis, and A. acutiloba have been considered as Angelicae radix in Korean, Chinese, and Japanese Pharmacopoeia, respectively. Since the origins of Angelicae radix differ from country to country, there is a need to develop an efficient analytical method to identify the origin of the Angelica root. In order to obtain chemical fingerprints, three different Angelicae Radices were analyzed by direct analysis in real time mass spectrometry (DART-MS). Significantly different DART-MS spectra were observed from three different species of Angelicae Radix. Strong peaks of decursin or decusinol angelate, and its dimer were exclusively found from A. gigas. Ligustilide and linoleic acid were detected as the major component from A. acutiloba. The strongest ligustilide peak was observed from A. sinensis. DART-MS fingerprinting is a promising method for the rapid identification and/or quality control of Angelicae Radix.

동일 융성 상에 존재하는 특징점 간의 연결정보를 이용한 지문인식 (Fingerprint Recognition using Connected Ridge Information between Minutiae on the Same Ridger)

  • 김현철;심재창
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제28권10호
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    • pp.764-772
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    • 2001
  • 본 논문은 지문의 특징점들이 융선으로 서로 연결되어진 구조 정보를 활용한 지문 매칭 알고리즘에 대해 연구하였다. 매칭에 이용한 특징은 분기점과 단점의 위치 및 분기점과 단점에서 융선의 진행 방향 등이다. 동일 융선 상에 존재하는 특징점들에 대한 연결정보를 추출하고, 이를 이용하여 원문지문과 입력지문간의 좌표 변환의 기준이 되는 특징점 쌍을 검출한다. 서로 일치하는 한 쌍의 특징을 이용해 입력지문을 이동 회전하여 원문지문과 일치시킨 후 각 특징들의 위치, 융선 방향이 일치하는 개수에 따라 지문의 동일여부를 판단하였다. 제안된 알고리즘은 회전과 이동에 무관한 지문인식이 가능하다. 89명으로부터 얻은 445매의 지문영상에 대한 실험결과, 지문매칭의 처리속도가 31%향상되었다.

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Fuzzy identity-based signature scheme from lattice and its application in biometric authentication

  • Zhang, Xiaojun;Xu, Chunxiang;Zhang, Yuan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2762-2777
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    • 2017
  • A fuzzy identity based signature (FIBS) scheme allows a signer with identity ${\omega}$ to generate a signature which could be verified under identity ${\omega}^{\prime}$ if and only if ${\omega}$ and ${\omega}^{\prime}$ are within a certain distance of each other as judged by some metric. In this paper, we propose an efficient FIBS scheme from lattice assumption, which can resist quantum-computer attacks. Without using the Bonsai Tree technique, we utilize the lattice basis delegation technique to generate the private key, which has the advantage of keeping the lattice dimension invariant. We also prove that our proposed scheme is existentially unforgeable under an adaptive chosen message and identity attack in the random oracle model. Compared with existing scheme, our proposed scheme is much more efficient, especially in terms of communication overhead. Since our FIBS scheme possesses similar error-tolerance property, it can be well applied in post-quantum communication biometric authentication environments, where biometric identifiers such as fingerprints, voice, iris and gait are used in human identification.

Biometric 정보를 기반으로 하는 사용자 인증 스킴의 안전성 분석 (Security Analysis of a Biometric-Based User Authentication Scheme)

  • 이영숙
    • 디지털산업정보학회논문지
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    • 제10권1호
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    • pp.81-87
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    • 2014
  • Password-based authentication using smart card provides two factor authentications, namely a successful login requires the client to have a valid smart card and a correct password. While it provides stronger security guarantees than only password authentication, it could also fail if both authentication factors are compromised ((1) the user's smart card was stolen and (2) the user's password was exposed). In this case, there is no way to prevent the adversary from impersonating the user. Now, the new technology of biometrics is becoming a popular method for designing a more secure authentication scheme. In terms of physiological and behavior human characteristics, biometric information is used as a form of authentication factor. Biometric information, such as fingerprints, faces, voice, irises, hand geometry, and palmprints can be used to verify their identities. In this article, we review the biometric-based authentication scheme by Cheng et al. and provide a security analysis on the scheme. Our analysis shows that Cheng et al.'s scheme does not guarantee any kind of authentication, either server-to-user authentication or user-to-server authentication. The contribution of the current work is to demonstrate these by mounting two attacks, a server impersonation attack and a user impersonation attack, on Cheng et al.'s scheme. In addition, we propose the enhanced authentication scheme that eliminates the security vulnerabilities of Cheng et al.'s scheme.

Direct RTI Fingerprint Identification Based on GCMs and Gabor Features Around Core point

  • Cho, Sang-Hyun;Sung, Hyo-Kyung;Park, Jin-Geun;Park, Heung-Moon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.446-449
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    • 2000
  • A direct RTI(Rotation and translation invariant) fingerprint identification is proposed using the GCMs(generalized complex moments) and Gabor filter-based features from the grey level fingerprint around core point. The core point is located as reference point for the translation invariant matching. And its symmetry axis is detected for the rotation invariant matching from its neighboring region centered at the core point. And then, fingerprint is divided into non-overlapping blocks with respect to the core point and, in contrast to minutiae-based method using various processing steps, features are directly extracted from the blocked grey level fingerprint using Gabor filter, which provides information contained in a particular orientation in the image. The Proposed fingerprint identification is based on the Euclidean distance of the corresponding Gabor features between the input and the template fingerprint. Experiments are conducted on 300 ${\times}$ 300 fingerprints obtained from the CMOS sensor with 500 dpi resolution, and the proposed method could obtain 97% identification rate.

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