• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.153-160
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• 2004

전자정부가 출범하면서 국민의 편익과 업무의 효율을 가져오는 혁신적인 계기가 되었다. 그러나 전자정부 서비스 실현을 위한 11개의 국책사업 중 교육행정정보시스템(NEIS)의 문제로 인해 개인정보보호에 대해 사회적인 관심을 가지게 되었다. 이에 대한 해결방안으로 미국과 캐나다에서 실시하는 프라이버시 영향 평가(Privacy Impact Assessment)를 도입하여 위험분석 방법과 통합한 새로운 PIA모델을 제시한다. 또한 외국의 PIA 적용사례(Canada PIA report)를 통해 PIA를 실시해야 하는 이유에 대해 기술하고자 한다.

• Journal of Advanced Navigation Technology
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• v.13 no.2
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• pp.272-279
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• 2009

A location information used in LBS provides convenience to the user, but service provider can be exploited depending on how much risk you have. Location information can be exploited to track the location of the personal privacy of individuals because of the misuse of location information may violate the user can import a lot of damage. In this paper, we classify the life cycle of location information as collection, use, delivery, storage and destroy and analyze the factors the privacy is violated. Furthermore, we analyze information security mechanism is classified as operation mechanism and policy/management mechanism and propose a security solutions of all phase in life cycle.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.181-189
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• 2024

The purpose of this study is to investigate the role of interaction privacy management behavior (Use of IPCs), which has received relatively little attention. To this end, this study proposes an integrated model that theorizes the relationship between the main variables of the privacy calculation model and interaction privacy management behavior. Empirical analysis of this model shows that the use of IPCs lowers risks, increases benefits, and in turn promotes increased self-disclosure. These results have implications for expanding the theoretical logic of the privacy calculation model because users' self-disclosure includes not only the limited exposure proposed in the model but also unrestricted exposure through the use of IPC.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.1-12
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• 2015

In recent years, the privacy concern for mobile consumers is emerging as the use of mobile application(apps) is growing according to the rapid spread of mobile devices such as smart phones and tablet PCs. To improve privacy protections in the mobile communications and apps, overseas organizations are announcing guidelines and/or checklists for stake holders. Although personal information protection guidelines for application developers have been prepared in the country, efforts to improve consumer privacy capability is insufficient. Thus, in this paper we first scope the app privacy related guidelines in both domestic and foreign affairs, then present the risk factors of privacy invasion by the stage of mobile application use based on the "Privacy Protection Act", offering privacy checklists for consumers. This checklist will enhance the self-management capability of consumer privacy and create virtuous cycle in the mobile ecosystem.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.171-178
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• 2023

As the risk of privacy invasion due to self-disclosure increases in SNS environment, many studies have tried to discover the influencing factors of self-disclosure. This study is an extension of this research stream and pays attention to the role of interaction privacy controls(friend list and privacy settings) as a new influencing factor. Specifically, the study theorizes and test the logic that the ability to effectively control interactions between individuals using IPC(called IPC usefulness) satisfies the three psychological needs(autonomy, relationship, and competency needs) suggested by the Self-Determination Theory, and in turn increase the amount of self-disclosure. As a result of data analysis, it was found that IPC usefulness has a very strong influence on the satisfaction of psychological needs and is a major factor in increasing the degree of self-disclosure by users. Based on these findings, the study discusses the theoretical and practical implications as well as future research directions.

• Knowledge Management Research
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• v.22 no.2
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• pp.33-53
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• 2021

Use of mobile apps being extended, privacy concern on the side of the users is increased while they are willing to provide the private information to use the apps. In this study, we tried to identify the motivating elements that influence the users' intention to use the apps, based on the tendency towards regulatory focus and the privacy calculus theory. To verify the study model, we collected data from 151 adults who use health apps throughout the country, and analyzed the data using the PLS-SEM method. According to the result of the study, it was turned out that tendency towards promotion focus had negative impact on privacy concern and privacy danger, and tendency towards prevention focus had positive impact on privacy concern. Privacy concern had negative impact on the intention to use the mobile apps, and privacy benefit and privacy knowledge had positive impact on the intention to use the mobile apps. Finally, the intention to use the mobile apps had positive impact on the intention to continue to use the mobile apps. In this study, we identified different impacts of two types of tendency towards regulatory focus on privacy concern, and identified different influences on the intention to use the mobile apps accordingly.

• Journal of Internet Computing and Services
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• v.8 no.4
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• pp.93-103
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• 2007

Networking environments are exposed to outside attacks and privacy threats. Due to broadcast nature of radio transmissions, wireless devices experience more vulnerable situations than those of wired network devices. This paper assumes that a wireless device has two network interfaces, one for accessing internet using 3G services, and the other for constructing an ad hoc network. To deal with privacy threats, this paper introduces an approach in which wireless devices form a special ad hoc network in order to exchange data using anonymous communications. One or more intermediate peers should be involved in the construction of an anonymous path. The proposed anonymous communication mechanism discourages traffic analysis and improves user privacy. According to simulation results, the anonymous connection in an ad hoc network prefers the intermediate peer(s) which is located near the source and/or the destination peer, rather than randomly-selected peers.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.285-292
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• 2019

With the popularization of PC, SNS and IoT, a lot of data is generated and the amount is increasing exponentially. Artificial neural network learning is a topic that attracts attention in many fields in recent years by using huge amounts of data. Artificial neural network learning has shown tremendous potential in speech recognition and image recognition, and is widely applied to a variety of complex areas such as medical diagnosis, artificial intelligence games, and face recognition. The results of artificial neural networks are accurate enough to surpass real human beings. Despite these many advantages, privacy problems still exist in artificial neural network learning. Learning data for artificial neural network learning includes various information including personal sensitive information, so that privacy can be exposed due to malicious attackers. There is a privacy risk that occurs when an attacker interferes with learning and degrades learning or attacks a model that has completed learning. In this paper, we analyze the attack method of the recently proposed neural network model and its privacy protection method.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.634-637
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• 2013

개인정보 영향평가(이하 PIA)는 시스템을 가동하기 전에 미리 개인정보 제공자의 프라이버시에 미치는 영향을 평가하여 프라이버시 침해 위험을 감소시키는 평가방법이다. 일본에서는 민간 기업이 중심이 되어 PIA를 실시해왔으며, PIA 보급을 위한 지침과 위험도 평가 방법을 개발하여 유효성 평가에 관한 연구가 이루어지고 있다. 본 발표에서는 일본의 PIA실시 현황과 2016년부터 공공기관에 의무화 될 예정인 마이 넘버(My Number) 제도에 대한 PIA에 관해 발표하겠다.

• Review of KIISC
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• v.26 no.6
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• pp.30-35
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• 2016

미래인터넷 기술의 하나인 정보 중심 네트워킹은 기존의 호스트 중심 네트워킹 개념을 대체하는 새로운 통신 방식으로, 인터넷과 같은 현재의 통신 방식의 한계를 극복하기 위한 대안으로 제안되었다. 정보 중심 네트워킹은 정보의 근원지 주소가 아닌 정보의 이름을 기반으로 통신하여, 네트워크의 확장성을 높이고 정보의 전송 효율을 높이는 것을 주요 목표로 한다. 이를 위하여 이름 기반 라우팅이나 네트워크 내 캐싱 기능 등을 제공하고, 신뢰성 있는 정보 제공을 위하여 무결성 보장 기능도 제공한다. 이와 같이 설계에서부터 네트워크의 효율과 신뢰성 제공을 고려하여 설계된 네트워킹 개념이지만, 여전히 보안 위협이나 프라이버시 침해 위험이 존재한다. 본 고에서는 정보 중심 네트워킹 구조에서 발생 가능한 보안 위협과 프라이버시 침해에 대응하기 위한 기존의 연구들을 소개하고, 향후 연구 방향을 제시하고자 한다.