• Journal of Korea Society of Industrial Information Systems
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• v.22 no.1
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• pp.69-87
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• 2017

This Research Attempted to Clarify the Eeffect of Privacy Concern and Institutional Trust on Privacy Decision based on Privacy Calculus Perspective. We Developed a Research Model Suggesting that the Influence of Privacy Benefit and Privacy risk on the Information Disclosure Behavior and the Influence of Privacy Concern and Institutional Trust on the Privacy Calculus. In this Regard, in Order to Examine the Difference According to the Target whose Personal Information was Collected, an Empirical Analysis was Conducted to Compare the E-commerce Field and LBS(Location Based Service) Field. The Results of Empirical Analysis are as follows. First, it is Founded that other Relations were All Statistically Significant Except the Relation between Privacy Risk and Information Disclosure Behavior in the LBS group. Next, as a Results of Comparison of Constructs in the E-commerce and Institutional trust than the LBS group, Identifying that the Consumers are more Sensitive to the Personal Information Collected in the E-commerce site.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.6
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• pp.71-82
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• 2009

There have been a lot of researches on providing privacy in MANET (Mobile Ad hoc NETwork) using trapdoor, onion, and anonymous authentication. Privacy protection in MANET can be divided into satisfying ID privacy, location privacy, route privacy, and unlinkability between sessions. Most of the previous works, however, were unsatisfactory with respect to location privacy or route privacy. Moreover, in previous schemes, cryptographic operation cost needed to meet the privacy requirements was relatively high. In this paper, we propose a new efficient anonymous routing protocol that satisfies all the privacy requirements and reduces operation costs. The proposed scheme does not use onion or anonymous authentication techniques in providing privacy. We also provide a more accurate analysis of our scheme's efficiency by considering all the nodes involved in the route establishment.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.225-239
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• 2007

Mobile service is highly becoming in the limelight on information society by offering infringement problem about individual privacy or information by political and scientific interest This study is focusing on primary LBS application Mobile service that emphasize position confirmation, especially, looking for friends. The aim at this study grasps user productivity factor of LBS application Mobile service, and analyses whether some have relations with value and action determination of LBS application Mobile service. According to result, Mobile service applying position service is supported with usefulness and system quality, adaptedness. On the other hand, Usability and social effect, privacy weren't embossed by leading person. Mobile service applying position service is changed with a person who have experience looking for friend. This study has systematically analysed about LBS application service by leading person

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.161-169
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• 2022

With the development of mobile devices and global positioning systems, various location-based services can be utilized, which collects user's location information and provides services based on it. In this process, there is a risk of personal sensitive information being exposed to the outside, and thus Geo-indistinguishability (Geo-Ind), which protect location privacy of LBS users by perturbing their true location, is widely used. However, owing to the data perturbation mechanism of Geo-Ind, it is hard to accurately obtain the density distribution of LBS users from the collection of perturbed location data. Thus, in this paper, we aim to develop a novel method which enables to effectively compute the user density distribution from perturbed location dataset collected under Geo-Ind. In particular, the proposed method leverages Expectation-Maximization(EM) algorithm to precisely estimate the density disribution of LBS users from perturbed location dataset. Experimental results on real world datasets show that our proposed method achieves significantly better performance than a baseline approach.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.659-662
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• 2005

Recently, the need for LBS (Location Based Services) is increasing with the rapid growth of the location measurement units, mobile devices, and communication technologies. Especially, wireless carriers are concentrating on LBS since it is regarded as so-called 'killer application' among wireless data services. Although LBS give us convenience and useful information, its use also raises privacy issues. There are quite possibilities that the people's locations are tracked by location measurement units while people do not recognize the existence of the units. To protect a person's location information, lawful and technical aspects should be considered. In this paper, we explain issues, regulations, standards, and platforms related to the protection of the location information. Finally, we suggest the architecture of a platform complying with the regulations and standards. It considers various issues not covered in other studies.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.8
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• pp.195-202
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• 2018

With the development of location-based applications such as smart phones and GPS navigation, active research is being conducted to protect location and trajectory privacy. To receive location-related services, users must disclose their exact location to the server. However, disclosure of users' location exposes not only their locations but also their trajectory to the server, which can lead to concerns of privacy violation. Furthermore, users request from the server not only location information but also multimedia information (photographs, reviews, etc. of the location), and this increases the processing cost of the server and the information to be received by the user. To solve these problems, this study proposes the EGTC (Enhanced Grid-based Trajectory Cloaking) technique. As with the existing GTC (Grid-based Trajectory Cloaking) technique, EGTC method divides the user trajectory into grids at the user privacy level (UPL) and creates a cloaking region in which a random query sequence is determined. In the next step, the necessary information is received as index by considering the sub-grid cell corresponding to the path through which the user wishes to move as c(x,y). The proposed method ensures the trajectory privacy as with the existing GTC method while reducing the amount of information the user must listen to. The excellence of the proposed method has been proven through experimental results.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.5
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• pp.439-444
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• 2016

This paper proposes the technique to protect the privacy of those who uses Smart Tourism Service based on location. The proposed privacy protection technique (1) generates a shared private key, OTK(One Time Key) without information exchanging Users with a Tourism Server and provides Users and a Tourism Server with message confidentiality by encrypting data with the key, (2) concatenates users' ID, login time(timestamp), and randomly-generated nonce, generates OTK by hashing with a hash function, encrypts users' location information and query by using the operation of OTK and XOR and provides Users and a Tourism Server with message confidentiality by sending the encrypted result. (3) protects a message replay attack by adding OTK and timestamp. Therefore, this paper not only provides data confidentiality and users' privacy protection but also guarantees the safety of location information and behavior pattern data.

• Spatial Information Research
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• v.20 no.5
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• pp.57-66
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• 2012

Recent development in wireless communication technology like GPS as well as mobile equipments like PDA and cellular phone makes location-based services (LBSs) popular. However, because users request a query to LBS servers by using their exact locations while moving on the road network, users' privacy may not be protected in the LBSs. Therefore, a mechanism for users' privacy protection is required for the safe and comfortable use of LBSs by mobile users. For this, we, in this paper, propose a road network distance based cloaking scheme supporting user privacy protection in location-based services. The proposed scheme creates a cloaking area by considering road network distance, in order to support the efficient and safe LBSs on the road network. Finally, we show from our performance analysis that our cloaking scheme outperforms the existing cloaking scheme in terms of cloaking area and service time.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.12
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• pp.1353-1358
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• 2014

Tremendous amount of dummy packets are generally generated for faking over a wireless sensor network so as to keep the location privacy of nodes on the communication paths against the global eavesdropping. In this paper, a scoped-flooding protocol is designed for transferring data between each source and mobile sink(aka, basestation) where, the only nodes within the scope are allowed to issue dummy packets at every idle time so that the location privacy of the nodes on the paths is kept and the amount of dummy packets is reduced to the extend of the flooding scope. The size of the flooding diameter can be taken into consideration of the privacy level and the communication cost. We design a detailed specification of the protocol and verify several properties.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.10
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• pp.437-444
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• 2023

Location-based services play a vital role in our daily lives. While these services enhance user convenience, user's privacy is at risk because they lead to a rapid surge in collecting and utilizing location information for a user. In this paper, we design and implement an application that securely records and manages user location information. We enhance the privacy protection aspect concerning location information by providing some features. Utilizing Room DB, we store collected personal location information in the user's local database instead of the server of the location-based service provider. Furthermore, user can initiate and terminate recording at their discretion, thereby enhancing the protection of personal information related to location data. User's unease regarding their movement paths is reduced by empowering them to have control over their own location information.