• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.99-108
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• 2024

The Internet of Things (IoT) is a novel concept that allows a large number of objects to be connected to the Internet while also allowing them to be controlled remotely. The Internet of Things is extensive and has become an almost inseparable part of our daily lives. Users' personal data is frequently obtained by these linked gadgets and stored online. In recent years, the security of acquired data has become a major concern. As devices grow more linked, privacy and security concerns grow more pressing, and they must be addressed as soon as possible. IoT implementations and devices are particularly vulnerable to attacks that might adversely affect customer security and privacy, which might have an impact on their practical utility. The goal of this study is to bring attention to the security and privacy concerns that exist in IoT systems. To that purpose, the paper examines security challenges at each level of the IoT protocol stack, identifies underlying impediments and critical security requirements, and provides a rapid overview of available security solutions for securing IoT in a layered environment.

• Journal of Fashion Business
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• 제9권3호
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• pp.134-149
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• 2005

Although Internet retailing is becoming a viable channel for apparel retailing, consumers are still reluctant to use Internet for apparel purchasing because at their concerns at Internet security and the difficulties at virtual shopping in unfamiliar shopping environment. The purpose at this study is to examine the nature at perceived risk associated with Internet apparel shopping and risk-reduction strategies used by Internet apparel shoppers. The data were collected via an online survey by a online research company. A total at 4,254 Internet users participated in this survey. Among these Internet users, 1,146 respondents had previous shopping experience in Internet shopping. Within this group, 195 were Internet apparel information seekers, and 589 were Internet apparel purchasers. Descriptive statistics, analysis of variance, and t-test were used to analyze the data. The perceived risks and risk-reduction strategies used by Internet apparel no-interest shoppers, Internet apparel information seekers (browsers), moderate Internet apparel purchasers, heavy Internet apparel purchasers were examined and compared. The results indicated that these tour groups were significantly different in apparel related risk, performance risk, and privacy risk. Internet purchasers tend to perceive more apparel-related, performance, and privacy risks than others. The results also indicated that these tour groups were significantly different in their opinions of risk-reduction strategies.

• Convergence Security Journal
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• 제12권1호
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• pp.71-77
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• 2012

Along with the development of Internet services such as Social Network Service (SNS) and blog Service, the privacy is very important in these services. But personal data is not safety from exposure to internet service. If personal data is leak out, the privacy is disclosed to hacker or illegal person and the personal information can be used in a cyber crime as phishing attacks. Therefore, the model and method that protects to disclose privacy is requested in SNS and blog services. The model must evaluate degree of exposure to protect privacy and the method protects personal information from Internet services. This paper proposes a model to evaluate risk for privacy with property of personal data and exposure level of internet service such as bulletin board. Also, we show a method using degree of risk to evaluate with a proposed model at bulletin board.

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1613-1627
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• 2017

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.

• Journal of Internet Computing and Services
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• 제17권2호
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• pp.77-85
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• 2016

Internet cookie technology is designed for solving unreliable problem of HTTP's inherent property and notifying user's previous activity to web site's server, so it is useful to provide suitable service for individual user. However, the cookie techniques are becoming more sophisticated such as the third cookie and super cookie. And its included information is applied for advertisement and target marketing strategy, so the problem occurs that user's personal information is collected excessively. However, our law does not recognize the internet cookie as personal information so user cannot know where own internet cookie is stored and applicable. Therefore, in this paper, we explain the internet cookie technology, the privacy invasion and right to be forgotten for solving problem due to the internet cookie. And we analysis the relationship between the information of internet cookie and personal information, and then present the improvement requirement on the law and technology to use internet cookie securely and conveniently.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.788-793
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• 2004

Internet-based distribution of digital contents provides great opportunities for producers, distributors and consumers, but it may seriously threaten users' privacy. The Digital Rights Management (DRM) systems which one of the major issues, concern the protection of the ownership/copyright of digital content. However, the most recent DRM systems do not support the protection of the user's personal information. This paper examines the lack of privacy in DRM systems. We describe a privacy policy and user's privacy preferences model that protect each user's personal information from privacy violation by DRM systems. We allow DRM privacy agent to automatically negotiate between the DRM system policy and user's privacy preferences to be disclosed on behalf of the user. We propose an effective negotiation algorithm for the DRM system. Privacy rules are created following the negotiation process to control access of the user's personal information in the DRM system. The proposed privacy negotiation algorithm can be adapted appropriately to the existing DRM systems to solve the privacy problem effectively.

• ETRI Journal
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• 제43권5호
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• pp.812-824
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• 2021

Recently, with an increase in Internet usage, users of online social networks (OSNs) have increased. Consequently, privacy leakage has become more serious. However, few studies have investigated the difference between privacy and actual behaviors. In particular, users' desire to change their privacy status is not supported by their privacy literacy. Presenting an accurate measurement of users' privacy status can cultivate the privacy literacy of users. However, the highly interactive nature of interpersonal communication on OSNs has promoted privacy to be viewed as a communal issue. As a large number of redundant users on social networks are unrelated to the user's privacy, existing algorithms are no longer applicable. To solve this problem, we propose a structural similarity measurement method suitable for the characteristics of social networks. The proposed method excludes redundant users and combines the attribute information to measure the privacy status of users. Using this approach, users can intuitively recognize their privacy status on OSNs. Experiments using real data show that our method can effectively and accurately help users improve their privacy disclosures.

• The Journal of the Convergence on Culture Technology
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• 제10권3호
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• pp.693-701
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• 2024

This study examined the relationship between internet ethics, self-control, nursing professionalism, and patient privacy awareness among nursing students with clinical practice experience, and attempted to provide basic data for the development of patient privacy awareness improvement programs reflecting the flow of information age. The data collection period was from November 20 to December 15, 2023. The questionnaires of 142 nursing students who agreed to participate in this study and were enrolled in D and C universities in Daejeon Metropolitan City and Cheongju City were analyzed. The results showed that nursing professionalism and self-control were the influential factors on nursing students' perception of patient privacy. The explanatory power of these variables was 24%. In conclusion, in order to improve the patient privacy awareness of nursing students, it is necessary to explore ways to promote the ethical awareness of internets and develop educational programs to increase nursing professionalism.

• Journal of the Korea Society of Computer and Information
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• 제21권11호
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• pp.73-78
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• 2016

All citizens will not be infringed communications rub. That can be seen to have the privacy freedom.lot (Internet of things) have released a security system in the era of information privacy appear that public safety and threat. Currently, Information and communication devices can be use criminal investigation, including search and seizure confirmed the fact communication of the communication restriction information storage medium for the common purpose of providing material system, the system provides data and communications. This paper focused on Privacy and open of information data by the Prosecutor and Police in korea. Privacy rights include that transparency information, communication, and protections for the rights of the individuals. It is necessary to be lawfulness of processing, individuals consent while Prosecutors investigations. especially we need explicit condition and National agency need to obtain in order to legitimize their processing of personal information data. The author emphasize are as follows: first, to examine Privacy rights information' necessity and problem, second, to understand Privacy rights and limits, third, to suggest improvements for the purpose of Transparency, codes of conduct and Democracy of information.

• Journal of the Korea Society of Computer and Information
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• 제24권9호
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• pp.43-49
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• 2019

Today, with the development of the internet of things, wearable devices related to personal health care have become widespread. Various global information and communication technology companies are developing various wearable health devices, which can collect personal health information such as heart rate, steps, and calories, using sensors built into the device. However, since individual health data includes sensitive information, the collection of irrelevant health data can lead to personal privacy issue. Therefore, there is a growing need to develop technology for collecting sensitive health data from wearable health devices, while preserving privacy. In recent years, local differential privacy (LDP), which enables sensitive data collection while preserving privacy, has attracted much attention. In this paper, we develop a technology for collecting vast amount of health data from a smartwatch device, which is one of popular wearable health devices, using local difference privacy. Experiment results with real data show that the proposed method is able to effectively collect sensitive health data from smartwatch users, while preserving privacy.