• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.60-66
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• 2021

Blockchain is a technology that enables trust-based consensus and verification based on a decentralized network. Distributed ID (DID) is based on a decentralized structure, and users have the right to manage their own ID. Recently, interest in self-sovereign identity authentication is increasing. In this paper, as a method for transparent and safe sovereignty management of data, among data pseudonymization techniques for blockchain use, various methods for data encryption processing are examined. The public key technique (homomorphic encryption) has high flexibility and security because different algorithms are applied to the entire sentence for encryption and decryption. As a result, the computational efficiency decreases. The hash function method (MD5) can maintain flexibility and is higher than the security-related two-way encryption method, but there is a threat of collision. Zero-knowledge proof is based on public key encryption based on a mutual proof method, and complex formulas are applied to processes such as personal identification, key distribution, and digital signature. It requires consensus and verification process, so the operation efficiency is lowered to the level of O (log_eN) ~ O(N²). In this paper, data encryption processing for blockchain DID, based on zero-knowledge proof, was proposed and a one-way encryption method considering data use range and frequency of use was proposed. Based on the content presented in the thesis, it is possible to process corrected zero-knowledge proof and to process data efficiently.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.493-503
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• 2024

This paper addresses the issue of continuous user authentication within the metaverse environment. Recently, the metaverse plays a vital role in personal interaction, entertainment, education, and business, bringing forth significant security concerns. Particularly, vulnerabilities related to user identity verification have emerged as a major issue. This research proposes a novel method to verify identities by analyzing users' character movements in the metaverse through a pose estimation model. This method uses only video data for authentication, allowing flexibility in limited environments, and investigates how character movements contribute to user identification through various experiments. Furthermore, it explores the potential for extending this approach to other digital platforms. This research is expected to significantly contribute to enhancing security and innovating user identity verification methods in the metaverse environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.472-474
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• 2019

Because of the difference in network structure and loss function, Verification and identification models have their respective advantages and limitations for person reidentification (re-ID). In this work, we propose a multi-task network simultaneously computes the identification loss and verification loss for person reidentification. Given a pair of images as network input, the multi-task network simultaneously outputs the identities of the two images and whether the images belong to the same identity. In experiments, we analyze the major factors affect the accuracy of person reidentification. To address the occlusion problem and improve the generalization ability of reID models, we use the Random Erasing Augmentation (REA) method to preprocess the images. The method can be easily applied to different pre-trained networks, such as ResNet and VGG. The experimental results on the Market1501 datasets show significant and consistent improvements over the state-of-the-art methods.

• Human Ecology Research
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• v.54 no.3
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• pp.251-262
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• 2016

This study analyzes the relation of the consumption values and ethical fashion consumption behavior as well as other influential factors between Korean and German ethical consumers based on the 'Modified Theory of Planned Behavior.' A survey was conducted on female consumers in their 20s and 30s, who experienced ethical fashion consumption in Seoul and Berlin. A factor analysis, reliability analysis, F -test and multiple regression analysis were performed for model verification. The research results indicated that emotional value (in case of Korea) and functional value out of consumption values (in case of Germany) have significant effects in regards to the influence of consumption values on ethical self-identity. The effects of ethical self-identity on ethical fashion consumption behavior indicated that Korean ethical self-identity influenced the ethical fashion consumption behavior of moderating and simplicity and eco-friendly certification versus local consumption as well as above factors (in case of Germany) explained by ethical self-identity. Both variables had a negative moderating effect in Korea in regards to the moderating effects of social comparison and materialism in the relations of ethical self-identity and ethical fashion consumption behavior; however, only materialism was an influential factor in Germany. The results of the research variables by individualism/collectivism indicated that the horizontal-collectivism group showed the highest ethical self-identity along with the lowest materialism tendency that had a high point of consumption behavior towards local consumption. However, the vertical-individualism group was outstanding. The consumption behavior aimed at moderating and simplicity.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.575-589
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• 2020

Along with the exponential growth of data businesses, the importance of data containing personal information of use have also increaseing. Particularly, in Korea, as the Data 3 Act was implemented, companies can use personal information more actively through regulatory improvement and stipulation in case of using data containing personal information. In this situation as per the service use, self-sovereign identity technology has emerged that can minimize the provision of personal information in relation to real name authentication and provision of personal information. Recently, services and studies using blockchain have been actively conducted in case of using the self-sovereign identity function for clarity and verification of records according to the use of personal information. In this thesis, by analyzing the characteristics of domestic self-sovereign identity service and the current status and contents of research related to blockchain-based self-sovereign identity technology and we suggest a research direction based on self-sovereign identity technology to reinforce the sovereignty of personal information in the era of the 3rd Data Act do.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.9
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• pp.4576-4598
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• 2018

In big data age, flexible and affordable cloud storage service greatly enhances productivity for enterprises and individuals, but spontaneously has their outsourced data susceptible to integrity breaches. Provable Data Possession (PDP) as a critical technology, could enable data owners to efficiently verify cloud data integrity, without downloading entire copy. To address challenging integrity problem on multiple clouds for multiple owners, an identity-based batch PDP scheme was presented in ProvSec 2016, which attempted to eliminate public key certificate management issue and reduce computation overheads in a secure and batch method. In this paper, we firstly demonstrate this scheme is insecure so that any clouds who have outsourced data deleted or modified, could efficiently pass integrity verification, simply by utilizing two arbitrary block-tag pairs of one data owner. Specifically, malicious clouds are able to fabricate integrity proofs by 1) universally forging valid tags and 2) recovering data owners' private keys. Secondly, to enhance the security, we propose an improved scheme to withstand these attacks, and prove its security with CDH assumption under random oracle model. Finally, based on simulations and overheads analysis, our batch scheme demonstrates better efficiency compared to an identity based multi-cloud PDP with single owner effort.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2298-2304
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• 2017

Online signature verification is one of the simple and efficient method of identity verification and has less resistance than other biometric technologies. In training to build a verification model, negative samples are required to build the model, but in most practical applications it is not easy to get negative samples - forgery signatures. In this paper, proposed is a method using someone else's signatures as negative samples. In verification, shape-based features extracted from the time-sequenced signature data are extracted and a support vector machine is used to verify. SVM tries to map a feature vector to a high dimensional space and to draw a linear boundary in the high dimensional space. SVM is one of the best classifiers and has been applied to various applications. Using general handwriting data, i.e., someone else's signatures which have little in common with positive samples improved the verification rate experimentally, which means that signature verification without negative samples is possible.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.453-462
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• 2021

As the status of public certificates expired due to the recent revision of the Electronic Signature Act, electronic signature-based public certificates were also lost in the means of replacing resident registration numbers(RRN). As a result, public certification institutions have recently been designated by the Korea Communications Commission as identity verification service providers through a review of the designation of personal identity proofing agency based on alternative means of RRN. However, unlike existing RRN replacements such as i-PIN, mobile phones, and credit cards, the personal identity proofing process for applicants for certificates is different from existing alternatives. The proposed method shows that it is possible to protect users' personal information and provide universal, reasonable, and safe identification services by applying improvements to electronic signature-based personal identity proofing services.

• Journal of the Korean Applied Science and Technology
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• v.40 no.2
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• pp.301-308
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• 2023

This study sought to provide basic data for soccer clubs to establish efficient brand strategies by verifying the structural model and effectiveness between domestic youth soccer club brand identity, value, and loyalty. Therefore, parents of members of youth soccer clubs in Seoul, Gyeonggi-do, and Chungcheong-do were selected as samples, and 372 copies of data were used for the final analysis. Data processing used the SPSS (ver. 21.0) program to analyze frequency and verify reliability. In addition, the brushstrap BC method was applied to verify the effectiveness and significance of confirmatory factor analysis, correlation analysis, structural equation model analysis, and the effectiveness and significance using the AMOS (ver. 20.0). As a result of the study, first, it was found that the brand identity of youth soccer club in Korea had significant effect on value. Second, value had significant influence on loyalty. Third, brand identity had significant influence on loyalty. Lastly, value between brand identity and loyalty showed partial mediated effect.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.11
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• pp.1435-1441
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• 2018

Online signature verification is one of the simple and efficient methods of identity verification and has less resistance than other biometric technologies. To handle signature verification as a classification problem, it is necessary to gather forgery signatures, which is not easy in most practical applications. It is not easy to obtain a large number of genuine signatures either. In this paper, one class SVM is used to tackle the forgery signature problem and someone else's signatures are used as general handwriting data to solve the genuine signature problem. Someone else's signature does not share shape-based features with the signature to be verified, but it contains the general characteristics of a signature and useful in verification. Verification rate can be improved by using the general handwriting data, which can be confirmed through the experimental results.