• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.65-89
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• 2014

Although many studies have focused on the influences and outcomes of personal information leakage, few studies have investigated how the personal information leakage prevention behavior differs depending on internet user. This study attempts to supplement the existing studies' limitations with the use of risk perception attitude (RPA) framework. More specifically, this study tries to show internet user can be classified into four groups based on perceived risk of personal information leakage and efficacy beliefs of personal information protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for privacy leakage prevention. Analysis on survey data from 276 internet users reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for personal information leakage prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of personal information protection strategies and policy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2124-2139
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• 2023

In this article, the authors focus on the use of smart CCTV, a combnation of biometric recognition technology and AI algorithms. In fact, the advancements in relevant technologies brought a significant increase in the use of biometric information - fingerprint, retina, iris or facial recognition - across diverse sectors. Both the public and private sectors, with the developments of biometric technology, widely adopt and use an individual's biometric information for different reasons. For instance, smartphone users highly count on biometric technolgies for the purpose of security. Public and private orgazanitions control an access to confidential information-controlling facilities with biometric technology. Biometric infomration is known to be unique and immutable in the course of one's life. Given the uniquness and immutability, it turned out to be as reliable means for the purpose of authentication and verification. However, the use of biometric information comes with cost, posing a privacy issue. Once it is leaked, there is little chance to recover damages resulting from unauthorized uses. The governments across the country fully understand the threat to privacy rights with the use of biometric information and AI. The EU and the United States amended their data protection laws to regulate it. South Korea aligned with them. Yet, the authors point out that Korean data aprotection law still requires more improvements to minimize a concern over privacy rights arising from the wide use of biometric information. In particular, the authors stress that it is necessary to amend Section (2) of Article 23 of PIPA to reflect the concern by changing the basis for permitting the processing of sensitive information from 'the Statutes' to 'the Acts'.

• Informatization Policy
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• v.21 no.3
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• pp.56-84
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• 2014

ICT development has led the government to provide more personalized services which means that the government has to collect more private information to satisfy the information demand from citizen. It is a dilemma because the more tailored information services may arise conflict against the right of private information protection which is one of the side effect by ICT. In this study, we analyzed the case of NEIS which still represents the issue of privacy conflict among each stakeholder's perspectives. To analyze the case, we used the frame analysis which is used as a tool for analyzing the case of public conflict. Through the analyses and discussions, we found the policy implication for the future ICT policies which can mediate the conflict between a data opening and the protection of privacy. Finally, we suggest a new governance approach for the better ICT policy contrary to top-down approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4522-4536
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• 2020

Nowadays, cloud is the fastest emerging technology in the IT industry. We can store and retrieve data from the cloud. The most frequently occurring problems in the cloud are security and privacy preservation of data. For improving its security, secret information must be protected from various illegal accesses. Numerous traditional cryptography algorithms have been used to increase the privacy in preserving cloud data. Still, there are some problems in privacy protection because of its reduced security. Thus, this article proposes an ElGamal Elliptic Curve (EGEC) Homomorphic encryption scheme for safeguarding the confidentiality of data stored in a cloud. The Users who hold a data can encipher the input data using the proposed EGEC encryption scheme. The homomorphic operations are computed on encrypted data. Whenever user sends data access permission requests to the cloud data storage. The Cloud Service Provider (CSP) validates the user access policy and provides the encrypted data to the user. ElGamal Elliptic Curve (EGEC) decryption was used to generate an original input data. The proposed EGEC homomorphic encryption scheme can be tested using different performance metrics such as execution time, encryption time, decryption time, memory usage, encryption throughput, and decryption throughput. However, efficacy of the ElGamal Elliptic Curve (EGEC) Homomorphic Encryption approach is explained by the comparison study of conventional approaches.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1437-1446
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• 2019

As a result of various personal information leakage incidents, the government implemented enhanced privacy protection measures, and financial companies are making efforts to periodically check whether personal information is misused according to government measures, but the problem of misuse of personal information is still not improved. The purpose of this study is to analyze the results of field experiments using the monitoring system for misuse of personal information and to suggest ways to improve the misuse problem. Based on the specific deterrence theory, this study examined the effects of misuse prevention according to the method of dealing with misusers, and analyzed the relationship between the duties of misusers and their years of service and misuse. It is expected that the analysis results of this study will be used for effective policy establishment.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.115-120
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• 2015

As the cloud services, the underlying technology of the digital convergence environment, have been widely adopted in the business, personal information protection has been recognized as one of the major issues to resolve. When cloud services are used to process the personal information, the personal information protection law speculates the establishment of a contract or service level agreement(SLA). This research presents 7 privacy indicators and 13 metrics which can be included in cloud SLA, based on the analysis of related regulation and standards and the SMART(Specific, Measurable, Action-oriented, Relevant and Timely) model. The proposed indicators are examined using the Focus Group Interview method in terms of materiality and feasibility. The results show that all the proposed indicators are meaningful and useful.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.275-281
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• The KIPS Transactions:PartC
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• v.14C no.7
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• pp.545-552
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• 2007

P3P(Platform for Privacy Preference) that is used in the World Wide Web is a standard to define and negotiate policies about definition, transmission, collection, and maintenance of personal information. Current P3P standard provides methods that define client personal information protection policy and P3P policy associated with web server. It also provides a method that compares these two policies. The current P3P standard, however, does not handle detail functions for safe transmission of the personal information and data. Also, it does not handle problems that can be induced by the detail functions. In this paper, in order to solve these problems, we propose a Secure P3P(S-P3P) protocol, which is a security protocol for the current P3P standard, offers mutual authentication between the web server and the client, and guarantees integrity and confidentiality of the messages and data. Furthermore, a S-P3P protocol provides non-repudiation on transmission and reception of personal information that is transmitted from the client to the web server.

• Informatization Policy
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• v.30 no.2
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• pp.22-45
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• 2023

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.7C
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• pp.667-673
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• 2007

In order to provide the efficient personalized services, the organizations and the companies collect and manage the personal information. The stored data have some slight differences among each subject. Even though the same attribute information leaks out, the personal privacy violation is different according to personal sensitivity. However, currently the organizations or the companies protect all the information as the same level. This paper reflects the sensitive attribute information of the information subject to each personal policy by the encrypting techniques. And then we propose a policy-based access control mechanism for the personal information which strictly prevents unauthorized information users from illegally accessing the personal information. In the proposed mechanism, the individuals' personal information which is encrypted with different keys is stored into the database. For the access control, information subjects set up their own access control policy for their sensitive personal information. Then it is possible to control the information access by providing the information to the information users according to personal and organizational privacy policy.