• Journal of Multimedia Information System
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• v.9 no.3
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• pp.201-208
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• 2022

Customized service is a vital and mandatory element for apps in improving their technical performance and app customer analysis. While apps require users' consent for their data extraction and usage, many of the terms and agreement forms are written intricately, making it harder for users to fully understand the whole concept of users' data collection for customized services. Ever since the Facebook-Cambridge Analytica scandal, personal data privacy has been re-examined, forcing many app companies to reinforce a reliable solution to data privacy issues. However, there has not been a secured solution, which worries many people about the future advanced issues when metaverse platforms are actively used in daily apps. The research aims to collect the reactions and behaviors of everyday app users who utilize apps with customized services to understand the nature of privacy data issues and the users' opinions about the future implementation of metaverse platforms. The method of the research was an online questionnaire that targeted university students. The study revealed many fearful and anxious reactions about personal data and further metaverse issues where most app users were uneducated about how current apps collect and utilize users' private data.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.353-384
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• 2012

This study was conducted on the observation that the filter bubble and privacy violation problems are related to the personalized services provided by libraries. This study discussed whether there is the possibility for invasion of privacy when libraries provide services utilizing state-of-the-art technology, such as location-based services, context aware services, RFID-based services, Cloud Services, and book recommendation services. In addition, this study discussed the following three aspects: whether or not users give up their right to privacy when they provide personal information for online services, whether or not there are discussions about users' privacy in domestic libraries, and what kind of risks the filter bubble problem can cause library users and what are possible solutions. This study represents early-stage research on library privacy in Korea, and can be used as basic data for privacy research.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.665-679
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• 2018

With the development of information and communication technology, especially wireless Internet technology and the spread of smart phones, digital data has increased. As a result, privacy issues which concerns about exposure of personal sensitive information are increasing. In this paper, we analyze the privacy vulnerability of online big data in domestic internet environment, especially focusing on portal service, and propose a measure to evaluate the possibility of privacy violation. For this purpose, we collected about 50 million user posts from the potal service contents and extracted the personal information. we find that potal service user can be identified by the extracted personal information even though the user id is partially anonymized. In addition, we proposed a risk measurement evaluation method that reflects the possibility of personal information linkage between service using partial anonymized ID and personal information exposure level.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.386-394
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• 2008

Adoption of wireless communication facilities in mobile devices leads to increased vulnerability in individual privacy. One of such cases was discovered when a smart mobile phone of Paris Hilton at Oscar Award Ceremony was hacked a Swedish group of hackers. In this study, I wondered what sort of personal information could be exposed to hackers in such cases. In the course of survey, it was recognized that technical analysis of flash memory in mobile devices to check what kinds of data are stored there is technically almost impossible, since they are usually built in a proprietary manner. No generic tools could apply to discover their contents. Having recognized technical difficulties, it was inevitable to resort to a questionnaire survey to see awareness level with regard to personal privacy. We collected response from three hundred respondents by posting the questionnaire at World Survey on-line research site. What we have discovered was quite astonishing that even personal residence registration numbers have been found from nine of every ten respondents. Other data revealed include phone numbers, names, and personal bank accounts.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1212-1219
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• 2011

As recently Privacy Acts in Korea enforced in domestic companies' personal information management needs of a growing obligation for the safety measures and the right of personal information collection, use, limitations, management, and destroyed specifically for handling personal information. Such this regulations should be required technical and policy supports. Accordingly, for the enterprise incident has occurred, the personal information management system behave correctly operating to verify that the safety measures taken, and be determined by the specific preparation to be done. So the first, preparation phase corresponds to the upcoming digital forensic investigation model. On the other hand, the response team also carried these measures out correctly, it needs to be done to check the compliance of Privacy Act. Thus a digital forensics investigation model is strictly related with the implementation of the Privacy Acts and improve the coping strategies are needed. In this paper, we suggest a digital forensic investigation model corresponding to Privacy Act.

• Journal of Information Technology Applications and Management
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• v.28 no.6
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• pp.145-161
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• 2021

Recently, as personal information utilization devices such as IoT, artificial intelligence, and wearable devices that focus on the individual have spread, privacy violations are also increasing. However, the privacy paradox of providing personal information to enjoy services while worrying is getting stronger. However, there are still preliminary studies on this. In this study, an intelligent home camera based on IoT technology was selected as a research object, and whether privacy paradox exists in the IoT environment, including smart home camera, was studied. To this end, the effect of perceived usefulness, a benefit factor of smart home camera use, and privacy concern, a risk factor, on intention to use was verified. In addition, it was investigated whether the relationship between privacy concerns and intention to use differs according to the presence or absence of use experience. In order to verify the research model, a survey was conducted with people with and without experience in using smart home cameras, and a total of 298 data samples were used for statistical analysis. As a result of the analysis, it was found that both perceived usefulness and privacy concerns had a positive effect on the intention to use, proving that privacy paradox exists in the IoT-based smart home camera environment. In addition, by analyzing the fact that privacy concerns have different effects on usage intentions depending on the user experience, it was verified that those with experience have a strong privacy paradox and those without experience have a weak privacy paradox. This study is meaningful because it seeks strategic implications to improve service and business performance by understanding the relationship between privacy attitudes and behaviors of IoT service providers, including smart home cameras.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.301-308
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• 2006

There are some technologies such as USN, RFID, Home-network to advance the ubiquitous era. Those technologies embody Context-Awareness System. To Context-Awareness System is that human, objects and environment supply information with cable and wireless at real time. So private information, information privacy, a wide sense privacy will be faced on serious menace. In this article, I analyze threat of private information in Context-Awareness System under USN(ubiquitous Sensing Network) surroundings and present technology to protect private information. Each technology can apply subdivided protection province information privacy. I expect definition of information privacy, insight through technological presentation and total solution in this article.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.151-157
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• 2017

In the case of uploading privacy information of an information owner in the Internet, the information owner may want to deliver the privacy information itself or remove such information from the search list in order to prevent third parties from accessing the privacy information of the information owner. Such a right to be forgotten may collide with the freedom of expression of a third party. The right to be forgotten, which originates from the self-determination right on privacy information based on Article 10 and 17 of the Constitution and the freedom of expression, which is based on Article 21 thereof are all relative basic rights and are both limited by Item 2 under Article 37 of the same law, which is the general limitation provision for the basic rights. Therefore, when the right to be forgotten and the freedom of expression collides, it is not possible to give priority to one of the those unilaterally. It depends on the nature of the case at hand to find a natural balance for the harmonious solution for both parties. The criteria can be the sensitivity to the privacy of the information owner caused by the disclose of the privacy information, the public benefits such information may serve, the social common good that could be expected by the disclosure of the privacy information and the damages suffered in terms of the personal interest caused by the disclosure of the information, in a comprehensive manner.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.6
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• pp.47-61
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• 2006

In the Internet era, enterprises want to use personal information of their own or other enterprises' subscribers, and even provide it to other enterprises for their profit. In this paper, a privacy authorization system for personal information based on privacy policies of users and enterprises is designed and implemented. Privacy policies of users and enterprises are described in XACML. Also, components of policy in XACML 2.0 such as Purpose, Obligation are suitable for expressing privacy policy. A prototype of privacy authorization system is implemented by modifying and extending the SUNXACML 1.2, a Sun's implementation of XACML 1.0 and some features of XACML 2.0, and GUI tools for composing and verifying are also developed.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.81-88
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• 2023

In the present scenario, enormous amounts of data are produced every second. These data also contain private information from sources including media platforms, the banking sector, finance, healthcare, and criminal histories. Data mining is a method for looking through and analyzing massive volumes of data to find usable information. Preserving personal data during data mining has become difficult, thus privacy-preserving data mining (PPDM) is used to do so. Data perturbation is one of the several tactics used by the PPDM data privacy protection mechanism. In Perturbation, datasets are perturbed in order to preserve personal information. Both data accuracy and data privacy are addressed by it. This paper will explore and compare several perturbation strategies that may be used to protect data privacy. For this experiment, two perturbation techniques based on random projection and principal component analysis were used. These techniques include Improved Random Projection Perturbation (IRPP) and Enhanced Principal Component Analysis based Technique (EPCAT). The Naive Bayes classification algorithm is used for data mining approaches. These methods are employed to assess the precision, run time, and accuracy of the experimental results. The best perturbation method in the Nave-Bayes classification is determined to be a random projection-based technique (IRPP) for both the cardiovascular and hypothyroid datasets.