• Journal of Digital Convergence
• /
• v.14 no.2
• /
• pp.65-72
• /
• 2016

This study built the theoretical frameworks for empirical analysis based on the analysis of the relationship among the concepts of risk of information privacy, the experience of information privacy, the policy of information privacy and information control via the provision intention studies. Also, in order to analyze the relationship among the factors such as the risk of information privacy, intention to offer the personal information, this study investigated the concepts of information privacy and studies related with the privacy, established a research model about the information privacy. Followings are the results of this study: First, the information privacy risk, information privacy experience, information privacy policy, and information control have positive effects upon the information privacy concern. Second, the information privacy concern has the negative effects upon the provision intention of personal information.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.453-462
• /
• 2019

This study investigates the relationship between controllability, severity, unrealistic optimism and risk perception of risk factors related to location - based SNS services for smartphone users. For this purpose, I surveyed university students who had experience using location - based SNS service. The main results are as follows. First, controllability has a statistically significant effect on unrealistic optimism. Second, Severity had a statistically significant negative impact on unrealistic optimism. Third, Controllability did not have a statistically significant effect on risk perception, Fourth, Severity did not have a statistically significant effect on perceived risk. Fifth, Unrealistic optimism had a statistically significant negative impact on perception of risk. The results of this study will contribute to the prevention of privacy incidents and the protection of smartphone users by using location - based SNS service. On the one hand, future research will need to look at the relationship between unrealistic optimism and risk prevention or coping behavior.

• Convergence Security Journal
• /
• v.23 no.5
• /
• pp.9-19
• /
• 2023

Smart cars, which incorporate information and communication technologies (ICT) to improve driving safety and convenience for drivers, have recently emerged. However, the increasing risk of automotive cybersecurity due to the vulnerability of electronic control units (ECUs) and automotive networks, which are essential for realizing the autonomous driving functions of smart cars, is a major obstacle to the widespread adoption of smart cars. Although there have been only a few real-world cases of smart car hacking, drivers' concerns about the security of smart cars can have a negative impact on their proliferation. Therefore, it is important to understand the risk factors perceived by drivers and the trust in smart cars formed through them in order to promote the future diffusion of smart cars. This study examines the risk factors that affect the formation of trust in smart cars, focusing on security and privacy, and analyzes how these factors affect safety perceptions and trust in smart cars.

• Knowledge Management Research
• /
• v.25 no.2
• /
• pp.49-68
• /
• 2024

Increasing concerns regarding personal data privacy have complicated the acquisition of customer data through online marketing. This study investigates factors influencing customers' willingness to disclose information via a generative AI-based chatbot. Drawing on privacy calculus theory and regulatory focus theory, we explore how customer regulatory focus and familiarity with the generative AI-based chatbot shape disclosure intentions. Our study, involving 473 participants, reveals that low familiarity with the chatbot leads individuals with a prevention focus to perceive higher privacy risks and lower perceived usefulness compared to those with a promotion focus. However, with high familiarity, these differences diminish. Moreover, individuals with a promotion focus show a greater inclination to disclose information when familiarity with the generative AI-based chatbot is low, whereas this regulatory focus does not significantly impact disclosure intentions when familiarity is high. Perceived privacy risks mediate these relationships, underscoring the importance of understanding familiarity with the generative AI-based chatbot in facilitating personal information disclosure.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11a
• /
• pp.19-21
• /
• 2005

현대의 산업화 사회에서는 자동인식을 통해서 사람과 사물을 식별하고자 하는 연구들이 진행되고 있다. 그 대표적인 예로 바코드를 이용한 접촉식 판별기술이 있고, 라디오 주파수를 이용한 RFID(Radio Frequency Identification) 기술을 들 수 있다. RFID의 경우는 무선 주파수를 이용하기 때문에 대량의 사물을 동시에 인식 할 수 있다는 장점이 있다. 하지만. 어떠한 상황에서 리더의 요청에 응답을 하는 리더-태그 시스템이기 때문에 사용자의 프라이버시 침해 문제를 야기 할 수 있다. 사용자의 프라이버시 침해문제를 막기 위해서 많은 연구들이 진행되고 있다. 그 중에서, Miyako Ohkubo의 Hash체인을 이용한 프라이버시 보호 기법은 정보유출, 위치추적공격(Location Tracking Attack), 전방위보안성(Forward Security)과 같은 프라이버시 침해문제들로부터 사용자의 프라이버시를 보호 할 수 있는 프로토콜이다. 그러나 Hash함수를 태그에 구현하는 것은 현재까지는 불가능한 상황이다. 또, Martin Feldhofer의 AES(Advanced Encryption Standard)를 사용한 프로토콜은 실제로 태그에 구현 가능하면서 내부구조가 8bit인 AES를 사용함으로써 암호학적인 강도를 높였으나, 프라이버시 침해 문제에서 단점을 드러냈다. 이러한 단점을 보완한 AES기반에서의 개선된 RFID 프라이버시 보호 프로토콜은 실제적으로 태그에 구현 가능한 AES를 이용한 암호화 체인을 통해서 프라이버시 보호에 우수하면서 실제 사용이 가능한 프로토콜을 제안하였다[1]. 그러나, 이 프로토콜은 생성되는 키 값들이 물리적 공격을 통해서 노출이 되었을 때, 이전의 seed값과 키 값들이 노출 되는 단점이 있다. 본 논문에서는 이러한 문제들을 해결하고자 프라이버시보호에 새로운 키 생성 방법을 통한 강력한 프로토콜을 제안 한다.하였으나 사료효율은 증진시켰으며, 후자(사양, 사료)와의 상호작용은 나타나지 않았다. 이상의 결과는 거세비육돈에서 1) androgen과 estrogen은 공히 자발적인 사료섭취와 등지방 침적을 억제하고 IGF-I 분비를 증가시키며, 2) 성선스테로이드호르몬의 이 같은 성장에 미치는 효과의 일부는 IGF-I을 통해 매개될 수도 있을을 시사한다. 약 $70 {\~} 90\%$의 phenoxyethanol이 유상에 존재하였다. 또한, 미생물에 대한 항균력도 phenoxyethanol이 수상에 많이 존재할수록 증가하는 경향을 나타내었다. 따라서, 제형 내 oil tomposition을 변화시킴으로써 phenoxyethanol의 사용량을 줄일 수 있을 뿐만 아니라, 피부 투과를 감소시켜 보다 피부 자극이 적은 저자극 방부시스템 개발이 가능하리라 보여 진다. 첨가하여 제조한 curd yoghurt는 저장성과 관능적인 면에서 우수한 상품적 가치가 인정되는 새로운 기능성 신제품의 개발에 기여할 수 있을 것으로 사료되었다. 여자의 경우 0.8이상이 되어서 심혈관계 질환의 위험 범위에 속하는 수준이었다. 삼두근의 두겹 두께는 남녀 각각 $20.2\pm8.58cm,\;22.2\pm4.40mm$으로 남녀간에 유의한 차이는 없었다. 조사대상자의 식습관 상태는 전체 대상자의 $84.4\%$가 대부분이 하루 세끼 식사를 규칙적으로 하고 있었으며 식사속도는 허겁지겁 빨리 섭취하는 경우가 남자는 $31.0\%$, 여자는 $21.4\%$로 나타났고 이들을 제외한 나머지 사람들은 보통 속도 혹은 충분한 시간을 가지고 식사를 하였다. 평소 식사량은 조금 적게 혹은 적당하게 섭취하는 사람이 대부분이었으며 남자가 여자보다는 배부르게 먹는 경 향이 유의적으로 높았다(p<0.05). 식사는 혼자 하는 경우가 남자

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.143-153
• /
• 2013

Big data is expected to bring forth enormous public good as well as economic opportunity. However there is ongoing concern about privacy not only from public authorities but also from private enterprises. Big data is suspected to aggravate the existing privacy battle ground by introducing new types of privacy risks such as privacy risk of behavioral pattern. On the other hand, big data is asserted to become a new way to by-pass tradition behavioral tracking such as cookies, DPIs, finger printing${\cdots}$ and etc. For it is not based on a targeted person. This paper is to find out if big data could contribute to catching out behavioral patterns of consumers without threatening or damaging their privacy. The difference between traditional behavioral tracking and big data analysis from the perspective of privacy will be discerned.

• Knowledge Management Research
• /
• v.22 no.2
• /
• pp.227-246
• /
• 2021

In the context of the global pandemic caused by COVID-19, emergency alert text messages can violate the privacy of confirmed corona positive cases. This study used conjoint analysis to identify the essential information factors and the privacy invasion information factors of local government initiated safety notices. As a result of this study, we found eight essential information factors, including all routes of the confirmed case and ten privacy invasion factors of safety notices. In addition, we found that there is a similarity between the combinations of information perceived to be the most essential and perceived as the most significant privacy invasion; both combinations include the confirmed case's personal and route information. This study ultimately tried to suggest a way to lower the concern about privacy invasion of the confirmed cases without damaging the emergency alert text messages' essential information. We expect that this study will provide researchers and policymakers interested in disaster communication with valuable theoretical and practical implications.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.34 no.2
• /
• pp.323-333
• /
• 2024

Recently, Syntheic data has been in the spotlight as a technology that can protect personal information while maintaining the patterns and characteristics of actual data. Accordingly, technical and institutional research on synthetic data is actively being conducted, but it is difficult to actively use synthetic data due to the lack of clear standards and guidelines. This study is a preliminary study for quantifying the disclosure risk of synthetic data, and derives a privacy disclosure risk index through statistical methodology and suggests specific application measures to comply with the General Data Protection Regulation(GDPR). It is expected that the disclosure risk and the balance of data utility can be controlled through the privacy disclosure risk index of this study in an open data environment.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.8 no.1
• /
• pp.33-40
• /
• 2007

RFID, a non-contact wireless identification technology is being noticed as a technology to alternate barcode system in distribution industry and general industry. Despite of merit of RFID, there are issues to be solved for practical use. One of them, which are most important, is resolution of user's information protection. RFID system without security function bears risk exposing personal data and user's privacy. In this paper, we propose mutual authentication protocol for RFID system in order to solve this security issue. This study aimed to protect user's privacy by providing dynamic ID for tag through authentication protocol safe from security threats. Information being transmitted between backend, reader and tag has no direct connection with ID of tag, and it conducts authentication process using one-way hash function, which prevents attacker's obtaining of tag information using information being transmitted.

• Information Systems Review
• /
• v.23 no.3
• /
• pp.201-223
• /
• 2021

Smart home is an advanced Internet of Things (IoT) service that enhances the convenience of human daily life and improves the quality of life at home. Recently, with the emergence of smart home products and services to which artificial intelligence (AI) technology is applied, interest in smart home is increasing. To gain a competitive edge in the smart home market, companies are providing "personalized service" to users, which is a key service that can promote smart home use. This study investigates the factors affecting the value awareness of personalized service and intention to use smart home. This research focuses on four-dimensional motivated innovativeness (cognitive, functional, hedonic, and social innovativeness) and privacy risk awareness as key factors that influence the value awareness of personalized service of smart home. In particular, this study conducts a comparative analysis between the generation MZ (young people in late teens to 30s), who are showing socially differentiated characteristics, and the generation X and baby boomers in 40s to 50s or older. Based on the analysis results, this study derives the distinctive characteristics of generation MZ that are different from the older generation, and provides academic and practical implications for expanding the use of smart home services.