• 제목/요약/키워드: User Privacy

검색결과 738건 처리시간 0.022초

A Privacy Negotiation Algorithm for Digital Rights Management

  • Phuttharak, Jurairat;Sathitwiriyawong, Chanboon
    • 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.

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Social Network Service에서의 사용자 저항에 영향을 미치는 요인에 관한 연구 (A Study on the Factors Affecting the User Resistance in Social Network Service)

  • 박은경;최정일;연지영
    • 품질경영학회지
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    • 제42권3호
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    • pp.387-406
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    • 2014
  • Purpose: The widespread use of social network services (SNS) has caused users concern about the disclosure of their privacy or personal information. The purpose of this study is to analyze the factors of privacy concern and self presentation that affect the user resistance in the use of social network service. Methods: This study verifies the factors that affecting the user resistance in SNS. The research model suggested in this study is tested via a survey of 260 SNS users. SPSS and Smart PLS had been used to test the suggested hypotheses. Results: This study shows that privacy experience, privacy awareness, self esteem, and social desirability significantly influence perceived risk and that privacy awareness, self esteem, self efficacy, and perceived risk significantly influence perceived trust. It also verifies that perceived risk and perceived trust positively affect user resistance. Conclusion: This paper suggests that high awareness on privacy of SNS user encourages the SNS companies to consider the privacy protection mechanism for eliminating various factors that affecting the risk. This study also shows that the privacy calculus model applies to understanding the mechanism on resistance of SNS user.

도서관 이용자 프라이버시에 대한 사서인식 조사연구 (A Study on Librarians' Perception of Library User Privacy)

  • 노영희
    • 한국문헌정보학회지
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    • 제47권3호
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    • pp.73-96
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    • 2013
  • 본 연구에서는 사서들을 대상으로 도서관 이용자 프라이버시에 대한 인식을 조사하고자 하였다. 이를 위해 도서관 이용자 프라이버시에 대한 설문응답자의 의견, 도서관 기록이 이용자의 프라이버시를 침해하는 정도, 도서관 이용자 프라이버시 보호를 위한 사서 및 도서관의 노력, 그리고 도서관 이용자 프라이버시 교육의 필요성 등 크게 네 개의 부분으로 나누어 조사하였다. 연구결과, 사서들은 프라이버시 침해에 대한 문제는 심각하게 인식하고 있으나 도서관 이용자 프라이버시에 대한 인식은 그다지 높지 못한 것으로 나타났다. 특히 도서관의 어떤 기록과 어떤 업무가 이용자 프라이버시 침해 가능성이 있는지에 대한 인식은 매우 낮게 나타났다. 또한 도서관 이용자 프라이버시를 보호하기 위해 어떤 노력을 어느 정도 해야 하는지에 대한 인식도 매우 낮게 나타났다. 반면에 도서관 이용자 프라이버시 관련 교육 프로그램의 필요성은 매우 높게 인지하고 있으며, 교육 프로그램에 참여할 의사도 비교적 높음을 알 수 있었다.

도서관이용자프라이버시에 대한 교육전후의 이용자인식변화 분석 연구 (Investigating Change of Users' Perception of Privacy Pre- and Post-Education on Library User Privacy)

  • 노영희;김태경;김동석
    • 정보관리학회지
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    • 제32권1호
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    • pp.63-84
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    • 2015
  • 이용자들은 도서관을 이용하기 위해 개인정보를 도서관에 제공해야 한다. 본 연구에서는 이러한 이용자들을 대상으로 도서관 이용자 프라이버시에 대한 인식을 조사하고 프라이버시 관련 교육을 제공한 후 교육효과를 측정하고자 하였다. 그 결과, 첫째, 본인 프라이버시에 대한 관심도, 도서관 이용자 프라이버시 문제의 심각성, 프라이버시 침해 가능한 도서관 데이터요소 등에서 교육 후 인식변화가 크게 일어났다. 둘째, 이용자들은 현재 도서관에서 수집하고 있는 이용자에 대한 서비스 기록이 이용자 프라이버시를 어느 정도 침해할 것이라고 생각하고 있는지에 대해 25개 항목 모두에서 교육 후 큰 인식 변화가 있었다. 셋째, 도서관 이용자 프라이버시 보호를 위해 도서관 및 사서가 수행해야 할 노력에 대해 15개의 문항 모두 교육 후 평균값이 유의하게 올라갔음을 알 수 있었다. 넷째, 도서관 이용자는 도서관 기록의 열람 및 취급에 있어 정당한 절차가 필요하다고 인식하게 되었으며 이를 위한 절차의 필요성에 공감하고 있다는 것을 알 수 있다. 다섯째, 도서관 기록이 유출되었을 경우 이용자가 느끼는 심각성은 매우 높은 것으로 나타났다.

Improved User Privacy in SocialNetworks Based on Hash Function

  • Alrwuili, Kawthar;Hendaoui, Saloua
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.97-104
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    • 2022
  • In recent years, data privacy has become increasingly important. The goal of network cryptography is to protect data while it is being transmitted over the internet or a network. Social media and smartphone apps collect a lot of personal data which if exposed, might be damaging to privacy. As a result, sensitive data is exposed and data is shared without the data owner's consent. Personal Information is one of the concerns in data privacy. Protecting user data and sensitive information is the first step to keeping user data private. Many applications user data can be found on other websites. In this paper, we discuss the issue of privacy and suggest a mechanism for keeping user data hidden in other applications.

개인정보 제공에 대한 인터넷 사용자의 경제적 행동에 관한 연구: Privacy Calculus, CPM 이론을 중심으로 (A Study on the Internet User's Economic Behavior of Provision of Personal Information: Focused on the Privacy Calculus, CPM Theory)

  • 김진성;김종기
    • 한국정보시스템학회지:정보시스템연구
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    • 제26권1호
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    • pp.93-123
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    • 2017
  • Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. In addition, this study, did empirical analysis of the path difference between groups by dividing Internet users into a group having experience in personal information spill and another group having no experience. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

A Survey of System Architectures, Privacy Preservation, and Main Research Challenges on Location-Based Services

  • Tefera, Mulugeta K.;Yang, Xiaolong;Sun, Qifu Tyler
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3199-3218
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    • 2019
  • Location-based services (LBSs) have become popular in recent years due to the ever-increasing usage of smart mobile devices and mobile applications through networks. Although LBS application provides great benefits to mobile users, it also raises a sever privacy concern of users due to the untrusted service providers. In the lack of privacy enhancing mechanisms, most applications of the LBS may discourage the user's acceptance of location services in general, and endanger the user's privacy in particular. Therefore, it is a great interest to discuss on the recent privacy-preserving mechanisms in LBSs. Many existing location-privacy protection-mechanisms (LPPMs) make great efforts to increase the attacker's uncertainty on the user's actual whereabouts by generating a multiple of fake-locations together with user's actual positions. In this survey, we present a study and analysis of existing LPPMs and the state-of-art privacy measures in service quality aware LBS applications. We first study the general architecture of privacy qualification system for LBSs by surveying the existing framework and outlining its main feature components. We then give an overview of the basic privacy requirements to be considered in the design and evaluation of LPPMs. Furthermore, we discuss the classification and countermeasure solutions of existing LPPMs for mitigating the current LBS privacy protection challenges. These classifications include anonymization, obfuscation, and an encryption-based technique, as well as the combination of them is called a hybrid mechanism. Finally, we discuss several open issues and research challenges based on the latest progresses for on-going LBS and location privacy research.

A Critical Literature Analysis of Library and User Privacy

  • Noh, Younghee
    • International Journal of Knowledge Content Development & Technology
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    • 제7권2호
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    • pp.53-83
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    • 2017
  • This research aims at identifying through literature analysis the extent of past research related to the protection of personal information and privacy of library users. This study was conducted in 3 stages of literature analysis suggested by other researchers, including Powell (2005). First, I found and collected literature related to personal information and library user privacy. Second, I reviewed the collected literature and identified detailed subjects and core concepts. Third, I analyzed the core subjects, main discussion points, and related examples shown in those papers divided into 7 subgroups. I examine library privacy from various angles through literature analysis, and the results of this paper would be useful for establishing library privacy policies and developing guidelines for librarians.

SNS 환경에서 신뢰성이 강한 사용자 프라이버시 모델 설계 (Design of User Privacy Model for Strong Reliability in SNS Environment)

  • 정윤수;김용태
    • 디지털융복합연구
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    • 제11권1호
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    • pp.237-242
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    • 2013
  • 최근 페이스북(Facebook)과 트위터(Twitter) 등의 폭발적인 성장에 따라 SNS는 사회적 학문적인 관심의 대상으로 부상하고 있다. 그러나, SNS는 이용자의 신상 정보와 사적인 의견 교환을 근간으로 사용자의 프라이버시가 노출될 수 있는 문제가 존재한다. 본 논문에서는 현재 SNS에서 이용자의 개인 프라이버시를 보호하기 위해 사용되고 있는 블록킹 대신 데이터 분리와 데이터 허위 정보를 이용한 SNS 사용자 프라이버시 보호 모델을 제안한다. 제안 모델은 사용자의 내용 정보를 분리하여 분리된 내용 정보에 허위 정보를 추가함으로써 제3자가 사용자의 내용 정보를 수집하여도 정확한 정보를 추출하지 못하도록 하고 있다. 또한, 제3자가 이용자의 정보를 불법적으로 악용하지 않도록 SNS 서비스 제공자가 이용자의 정보를 활용할 경우 이용자에게 사전에 동의를 구한다.

딥러닝을 이용한 온라인 리뷰 기반 다속성별 추천 모형 개발 (Developing the online reviews based recommender models for multi-attributes using deep learning)

  • 이륜경;정남호;홍태호
    • 한국정보시스템학회지:정보시스템연구
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    • 제28권1호
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    • pp.97-114
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    • 2019
  • Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.