• Journal of Information Processing Systems
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• v.18 no.2
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• pp.245-257
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• 2022

In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.7B
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• pp.438-447
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• 2007

In the Internet, an identity service must to obtain permission from a user to allow them to share data with requesting service. For that, the privacy policy, which reflects legal regulations and preferences made by the user, is needed. Also, the management interface that aids the user to make the privacy policy and the PDP system that makes admission control and policy decisions in response to a request from an entity wanting to access the personal information are needed. In this paper, the privacy controller system model handled under the internet Identity management system environment is proposed. The system has the easy interface of policy generation and the efficient policy decision process. The system applies and modifies to the XACML of OASIS group. We propose that the privacy policy is divided into the three policies, which are the user policy, the domain policy and the basic offering policy. To resolve the collision between the policies, we also propose the collision resolution policy.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• The Journal of Information Systems
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• v.32 no.2
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• pp.1-24
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• 2023

Purpose The aim of this study is to investigate how system quality, privacy concerns, and usefulness impact user satisfaction and word-of-mouth intention towards smart order services among Chinese consumers. The study also seeks to provide both theoretical and practical implications based on the findings. Design/methodology/approach This study conducted an empirical study on Chinese consumers through an online survey on 274 users of smart order service in China. To analyze the data, frequency analysis, reliability analysis, and confirmatory factor analysis were performed using SPSS 26.0 and AMOS 26.0 statistical programs, and structural equation model was used for hypothesis testing. Findings The study results are as follows. First, system quality was found to have a positive effect on usefulness and user satisfaction. Second, privacy concerns were found to have a positive effect on user satisfaction, but not on usefulness. Third, user satisfaction was found to have a positive effect on consumers' word-of-mouth intention of the smart order service. Finally, mediating effects were found between system quality and user satisfaction through usefulness, as well as between system quality, perceived privacy concern, and usefulness through user satisfaction.

• Journal of Information Processing Systems
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• v.6 no.2
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• pp.185-196
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• 2010

This paper proposes a personal information protection model that allows a user to regulate his or her own personal information and privacy protection policies to receive services provided by a service provider without having to reveal personal information in a way that the user is opposed to. When the user needs to receive a service that requires personal information, the user will only reveal personal information that they find acceptable and for uses that they agree with. Users receive desired services from the service provider only when there is agreement between the user's and the service provider's security policies. Moreover, the proposed model utilizes a mobile agent that is transmitted from the user's personal space, providing the user with complete control over their privacy protection. In addition, the mobile agent is itself a self-destructing program that eliminates the possibility of personal information being leaked. The mobile agent described in this paper allows users to truly control access to their personal information.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.31-39
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• 2008

Recently, remote user authentication schemes using smart cards has been researched to provide user privacy because of increasing interest and demands. Previously, provided authentication schemes were only concerned about providing user privacy against outside attackers, but the scheme. which guarantees user privacy against both a remote server and outside attackers, has been recently demanded because the user's information has leaked out through the service providers. When the remote server perceives a user doing a malicious act, the server should be able to trace the malicious user by receiving help from a trust agency. In this paper, we suggest a scheme which not only guarantees user privacy against both a remote server and outside attackers, but also provides traceable anonymity authentication.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.621-624
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• 2013

Mobile Cloud Computing is today's emerging technology. Customers enjoy the services and application from this combination of mobile technology and cloud computing. Beside all these benefits it also increases the concerns regarding privacy of users, while interacting with this new paradigm One of the services is Location based services, but to get their required services user has to give his/her current location to the LBS provider that is violation of location privacy of mobile client. Many approaches are in literature for preserve location privacy but some has computation restriction and some suffer from lack of privacy. In this paper we proposed a novel idea that not only efficient in its protocol but also completely preserves the user's privacy. The result shows that by sharing just service name and a large enough geographic area (e.g. a city) user gets required information from the server by doing little client side processing We perform experiments at client side by developing and testing an android based mobile client application to support our argument.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.4994-5004
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• 2012

This paper aims at investigating voluntary user participation such as user citizenship behavior and aberrant user behavior in the SNS context. Also it examines on how user participation behavior affects social connectedness, privacy concern, and user satisfaction. The empirical assessment of the research model was conducted using a total of 143 responses. The findings show that user citizenship behavior impacts on social connectedness positively and significantly whereas aberrant user behavior does not influence on social connectedness. Aberrant user behavior is proven not to be related to social connectedness, and to has positive relationship with concern for privacy invasion. Also, the results show that privacy concern is not associated with social connectedness. Finally, social connectedness is shown to be a key determinant of SNS user satisfaction whereas privacy concern is not related to user satisfaction.

• Informatization Policy
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• v.29 no.2
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• pp.37-65
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• 2022

This article analyzes the relationship between the privacy attitudes of MyData users and the four dimensions of privacy cynicism (distrust, uncertainty, powerlessness, and resignation) as to privacy protection intentions through a structural equation model. It was examined that MyData user's internet skills had a statistically significant negative effect on 'resignation' among the privacy cynicism dimensions. Secondly, privacy risks have a positive effect on 'distrust' in MyData operators, 'uncertainty' in privacy control, and 'powerlessness' in terms of privacy cynicism. Thirdly, it was analyzed that privacy concerns have a positive effect on the privacy cynicism dimensions of 'distrust' and 'uncertainty', with 'resignation' showing a negative effect. Fourthly, it was found that only 'resignation' as a dimension of privacy cynicism showed a negative effect on privacy protection intention. Overall, MyData user's internet skills was analyzed as a variable that could alleviate privacy cynicism. Privacy risks are a variable that reinforces privacy cynicism, and privacy concerns reinforce privacy cynicism. In terms of privacy cynicism, 'resignation' offsets privacy concerns and lowers privacy protection intentions.

• Journal of Platform Technology
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• v.6 no.3
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• pp.17-22
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• 2018

Smart home is a technology for monitoring and controlling all the information about a house by integrating various home applications like cooling, heating, lighting, kitchen and security systems into a network. Although home appliances have become more convenient to use due to the development of smart home technology, they are also more vulnerable to information security hazards. Unauthorized visitors may have access to any of home appliance to arbitrarily control it or acquire information. This causes serious privacy and security problems, which should be solved to further smart home technology. This present paper proposed a dynamic user access control system for privacy protection in smart homes. The proposed system defines the role of a user of smart home services by automatically identifying the status information of the user and dynamically controls the access range for the service. In this way, the privacy of a user can be protected and the inter-smart device service is effectively provided. Consequently, the proposed dynamic user access control for smart home will improve the security service for protecting privacy in smart home devices.