• 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.

• Analytical Science and Technology
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• v.33 no.4
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• pp.197-207
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• 2020

The current comparison methods with scoring systems that are used to compare visualized latent fingerprints (LF) have disadvantages. Evaluators using these methods are prone to make errors and fail to discriminate LFs correctly to notice the differences among those LFs. Therefore, a comparative and quantitative evaluation method that is capable of obtaining more objective and quantitative results is needed. Densitometric image analysis (DIA) is used in other fields as a reliable semi-quantitative comparison method. To apply DIA to LFs, the potential variables that can occur during the DIA process were tested. The visualized ridges of LFs can be compared using the concentration of dots against the background to make it possible to analyze the ridges with DIA. The variables that can be present during the DIA process include the thickness of the analysis line, the number of ridges to be taken, the number of divided zones within each of the fingerprints, and the angles of the analysis line against the ridge lines that were selected. From the analysis of the inked fingerprints and circular lines that are similar to fingerprints, the angle of the analysis lines with the ridge line was the most significant variable. The preliminary test result was applied to the comparison of LFs that were developed with the powder method and then compared with the AFIS analysis. A similar trend was found, and a more detailed and semi-quantitative comparison of the visualized LFs was possible. In the future, it is necessary to check the evaluative ability of the DIA method by analyzing the visualized LFs with other various development methods. However, DIA is currently an option that can be used as an objective comparative evaluation method during fingerprint studies with supplementary role.

• Korean Journal of Optics and Photonics
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• v.31 no.3
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• pp.125-133
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• 2020

An innovative method for separating overlapping latent fingerprints, using laser-induced plasma spectroscopy (LIPS) combined with multivariate analysis, is reported in the current study. LIPS provides the capabilities of real-time analysis and high-speed scanning, as well as data regarding the chemical components of overlapping fingerprints. These spectra provide valuable chemical information for the forensic classification and reconstruction of overlapping latent fingerprints, by applying appropriate multivariate analysis. This study utilizes principal-component analysis (PCA) and partial-least-squares (PLS) techniques for the basis classification of four types of fingerprints from the LIPS spectra. The proposed method is successfully demonstrated through a classification example of four distinct latent fingerprints, using discrimination such as soft independent modeling of class analogy (SIMCA) and partial-least-squares discriminant analysis (PLS-DA). This demonstration develops an accuracy of more than 85% and is proven to be sufficiently robust. In addition, by laser-scanning analysis at a spatial interval of 125 ㎛, the overlapping fingerprints were separated as two-dimensional forms.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.3
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• pp.113-120
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• 2017

In recent years, indoor localization has been researched for the improvement of its localization accuracy capability in Wi-Fi environment. The fingerprint and RF propagation models has been the main approach in determining indoor positioning. With the use of fingerprint, a low-cost, versatile localization system can be achieved without the use of external hardware. However, only a few research have been made on virtual access points (VAPs) among indoor localization models. In this paper, the idea of indoor localization system using fingerprint with the addition of VAP in Wi-Fi environment is discussed. The idea is to virtually add APs in the existing indoor Wi-Fi system, this would mean additional virtually APs in the network. The experiments of the proposed algorithm shows the positive results when 2VAPs are used compared with only APs. A combination of 3APs and 2VAPs in the 3rd case had the lowest average error of 3.99 among its 4 scenarios.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.4
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• pp.843-853
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• 2017

In the case of electronic payment, the obligation to use the certificate-based authentication was abolished. As Fin-tech service providers gain autonomy, various authentication methods are provided. SMS, ARS, PIN, Text-passwords, Fingerprints are popular authentication methods in the mobile Fin-tech services. In this study evaluate the usability and security of authentication methods in a unified mobile environment. We evaluate the usability through SUS and interview. Also we evaluate the security level of authentication methods through NIST guideline. At the result of the usability evaluation, Fingerprint authentication method had been determined as the highest usability, also Fingerprint authentication method had been determined as the safest authentication method by obtaining Security Level 4.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1281-1287
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• 2013

In order to prevent illegal video copies, many video fingerprints have been developed. Video fingerprints should be robust from various video transformations and have high discriminative powers. In general, video fingerprints are generated from three feature spaces such as luminance, gradient, and DCT coefficients. However, there is a few study for the robustness and discrimination according to feature spaces. Thus, we analyzed the property of each feature space by video copy detion task with the robustness and the discrimination of video fingerprints. We generated three video fingerprints from these feature spaces using a same algorithm. In our test, a video fingerprint. based on DCT coefficient outperformed others because the discrimination of it was higher.

• Journal of KIISE:Software and Applications
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• v.34 no.4
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• pp.377-388
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• 2007

In this paper, we propose a multi-modal biometric system based on face, iris and fingerprint recognition system. To effectively aggregate two systems, we use statistical distribution models based on matching values for genuine and impostor, respectively. And then, We performed reveal fusion algorithms including weighted summation, Support Vector Machine(SVM), Fisher discriminant analysis, Bayesian classifier. From the various experiments, we found that the performance of multi-modal biometric system was influenced with the normalization methods and classifiers.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1579-1582
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• 2012

Objective: To assess differences in serum proteins in esophageal squamous cell carcinoma patients. Methods: 144 esophageal squamous cell carcinoma patients and 50 healthy volunteers were included in this study, with surface-enhanced laser desorption-ionization time-of-flight mass spectrometry and weak cation exchange magnetic beads. Follow-up allowed the relations between serum proteins and prognosis to be analyzed. Results: A total of 93 protein peaks were detected (molecular weight range: 1500-30000), 10 demonstrating statistically significant differences. There were no differences in protein peaks between 92 patients with a survival more than 2 years and 52 patients with survival less than 2 years. There were two significantly different protein peaks between 45 stage II patients with a survival more than 2 years and 14 stage II patients with survival less than 2 years. There was one significantly different protein peak between 22 stage III patients with a survival more than 2 years and 29 stage III patients with survival less than 2 years. Conclusion: Differences of serum proteins in esophageal squamous cell carcinoma are related to prognosis of patients. The protein fingerprint can be helpful for clinical diagnosis and treatment.

• Natural Product Sciences
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• v.11 no.2
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• pp.58-62
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• 2005

Pygmaeopremna herbacea (Roxb.) Mold. (Verbenaceae) is a small herb or sometimes an undershrub arising from a perennial rootstock. The dry roots are dark muddy brown in colour having root nodules. Its extensively developed roots are widely used in tribal medicine. They are used as an aphrodisiac and for the treatment of gout, rheumatism and ulcers. This study deals with the detailed pharmacognostical evaluation of the dried roots and root nodules of P. herbacea which includes macro and microscopic studies, determination of physicochemical parameters and chemoprofiling of the extract using HPTLC fingerprint profiles. It was observed that the roots consist of a well developed cortical region consisting of tangentially elongated thin walled parenchymatous cells and contain polygonal stone cells as well as compound starch grains. Also the pith was parenchymatous. The HPTLC fingerprint profile of the methanolic extract showed the presence of seven major bands. Such an analysis may thus be utilized in identifying P. herbacea and in differenciating it from other species which are similar to it or are used as its adultrants/substitutes under the same vernacular name of Bharangi.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.1042-1052
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• 2010

The Degradation of amur cork tree extract is investigated by GC-MS after treating the dye with three thermal degradation systems of, room temperature (RT), $4^{\circ}C$ refrigeration (LT), $100^{\circ}C$ oven (OV), and $H_2O_2$/UV/$O_2$ (PER) degradation system for 0-24 days. It was found that PER degradation system represented the highest intensity of degradation treatment followed by OV treatment among the four degradation parameters. The possible fingerprint products of amur cork tree dye, that yielded 68% (or higher) reliability in the NIST spectral match, were isobenzofuran-1,3-dione,4,5-dimethoxy- (8.37 min, PER only), 1,3-dioxolo[4,5-g]isoquinolin-5(6H)-one,7,8-dihydro (9.41 min, PER only), canthine-6-one (10.24 min, RT, LT, OV only), and dihydroberberine (15.05 min, RT, LT, OV, PER) in the order of higher to lower possibility of detection. Unknown products 7 (13.43 min) and 8 (16.35 min) are two other possible fingerprint products of amur cork tree dye that require future identification.