• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.228-237
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• 2011

The risk of leakage or theft of critical data which is stored in database is increasing in accordance with evolution of information security paradigm. At the same time, needs for database security have been on the rapid increase due to endless leakage of massive personal information. The existing technology for prevention of internal information leakage possesses the technical limitation to achieve security goal completely, because the passive control method including a certain security policy, which allows the only authorized person to access to DBMS, may have a limitation. Hence in this study, we propose Query Signature System which signatures the queries accessing to the critical information by interrupting and passing them. Furthermore this system can apply a constant security policy to organization and protect database system aggressively by restricting critical query of database.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.675-686
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• 2021

According to the recent revision of Privacy Policy and the emerging importance of personal information, cooperations must verify customer identity (Know Your Costomer, KYC) while processing and managing this information so that it does not violate the Privacy Policy. One of the solution of this problem is zero-knowledge proof (ZKP). The use of the ZKP enables to verify the identity without exposing the identity information directly, thereby reducing the burden on the management of personal information while fulfilling the obligation of the cooperations to verify the identity. The ZKP could be employed to many other applications. In this paper, we analyze the ZKP technique and its applications currently being actively studied.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.155-164
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• 2016

In this paper, we investigate and analyze big data platform published at home and abroad. The results had a problem with personal information security on each platform. In particular, there was a vulnerability in the encryption of personal information stored in big data representative of HBase NoSQL DB that is commonly used for big data platform. However, data encryption and decryption cause the system load. In this paper, we propose a method of encryption with HBase, encryption and decryption systems, and methods for applying the personal information management system (PMIS) for each step of the way and big data platform to reduce the load on the network to communicate. And we propose a new big data platform that reflects this. Therefore, the proposed Big Data platform will greatly contribute to the activation of Big Data used to obtain personal information security and system performance efficiency.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.99-106
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• 2013

Personal information protection has become one of the most impending business issues because leakage of personal information can cause tremendous financial losses and image degradation. Consequently, personal information protection initiatives have been recognized widely in business. To invigorate personal information protection investments, performance measurement method such as cost benefits analysis or qualitative analyses are needed, which have not been studied enough in the previous studies. This study proposes a performance measurement model which can include quantitative and qualitative analyses in the context of personal information protection investments. A comparative analysis has been performed on security investment and IT investment performance measurements, which leads to choose the WiBe method (developed by the German Interior Ministry), considering the privacy characteristics and the method's applicability. In particular, the quantitative effect measured how proactive threat assessment based on the way according to the nature of the businesses and organizations of privacy and possible investment decisions. This study proposes the 16 performance indicators, which turn out to be meaningful in terms of their materiality and feasibility by conducting focus group interviews of 25 experts on personal information protection.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.23-37
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• 2012

Illegal game players' hacking and propagation of malignant code in online game exposes privacy of online game customers. So, online game companies have to support the standardized systems and operations of customers' privacies. Since online game companies implement authentication of information protection, which focuses on assets or physical, systemic security, they need a more professional system that is related to protection of individual privacy. We analyzed the individual information protection system, which includes ISO27001, ISMS of KISA, GMITS, ePrivacy, online game privacy protection guide, and BS10012. Using the suggested systems, we proposed the systemic tools that measure the level of individual information protection, which includes process and check items of each phase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1832-1853
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• 2018

The personal health record (PHR) system is a promising application that provides precise information and customized services for health care. To flexibly protect sensitive data, attribute-based encryption has been widely applied for PHR access control. However, escrow, exposure and abuse of private keys still hinder its practical application in the PHR system. In this paper, we propose a coordinated ciphertext policy attribute-based access control with user accountability (CCP-ABAC-UA) for the PHR system. Its coordinated mechanism not only effectively prevents the escrow and exposure of private keys but also accurately detects whether key abuse is taking place and identifies the traitor. We claim that CCP-ABAC-UA is a user-side lightweight scheme. Especially for PHR receivers, no bilinear pairing computation is needed to access health records, so the practical mobile PHR system can be realized. By introducing a novel provably secure construction, we prove that it is secure against selectively chosen plaintext attacks. The analysis indicates that CCP-ABAC-UA achieves better performance in terms of security and user-side computational efficiency for a PHR system.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.461-467
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• 2017

Privacy laws are widely enforced throughout the general public and private sector, and the Ministry of Government Administration and Home Affairs is stepping up its annual level of protection and management levels annually. However, in actual field, it has limits to follow the laws that are amended to comply with the privacy laws of the public sector. Therefore, this study should examine the trends of privacy protection and examine items that require adherence to privacy practices in public institutions. In addition, it is hoped to draw implications for the problems arising from the task itself, as well as providing implications for the issues that are closely related to the public in the privacy of the privacy policies.

• Journal of Internet of Things and Convergence
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• v.1 no.1
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• pp.39-44
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• 2015

Organization is increasing the authorizing process to use public certificate and bio information. Certificate, has evolved to be able to parallel distributes the bio authentication and portable bio-authentication device. Authentication using an individual's PC and smart devices continue to generalize, while convenience for authentication is increased by comparison Study on cooperation with the security at the network level's a weak situation. If ask authentication method through the cooperation of the public certificate and bio information work with current network access control, there is a possibility to develop a more powerful security policy. by cooperation weaknesses against vulnerable personal authentication techniques on security token in a reliable and secure personal authentication techniques, such as bio-recognition, Bio Information for identification and to prevent exposing a methodology suggest to validate whether or not to carry out in this paper. In addition, organize the scenario that can work with the 802.1x network authentication method, and presented a proposal aimed at realization.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.39-51
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• 2017

In October 2016, the NFSA (National Financial Supervisory Authorities) revised the network separation clause of the Regulation on Supervision of Electronic Financial Activities in order to promote the Cloud Computing implementation in the financial sectors. The new regulation, however, limits the Cloud Computing usage to non-critical information and its processing system. Financial institutions that provide customer data analysis and personalized services based on personal data regard current revision as unchanged as before. The implementation of Cloud Computing has greatly contributed to cost reduction, business innovation and is an essential requirement in ever-changing information communication technology environment. To guarantee both security and reliability of the implementation of the Cloud Computing in financial sectors, a considerable amount of research and debate needs to be done. This paper examines current Cloud Computing policies in the Korean financial sector and the challenges associated with it. Finally, the paper identifies policy suggestions based on both European Union and United States' approach as they have successfully introduced Cloud Computing Services for their financial sectors.