• Title, Summary, Keyword: Privacy Protection

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A NOTE ON PROTECTION OF PRIVACY IN RANDOMIZED RESPONSE DEVICES

  • SAHA AMITAVA
    • Journal of the Korean Statistical Society
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    • v.34 no.4
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    • pp.297-309
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    • 2005
  • We consider 'efficiency versus privacy-protection' problem concerned with several well-known randomized response (RR) devices to estimate pro­portion of people bearing a stigmatizing characteristic in a community. The literature of RR on respondent's privacy protection discusses only about response specific jeopardy measures. We propose a measure of jeopardy that is independent of the RR offered by the interviewee and recommend it for using as a technical characteristic of the RR device. For ensuring better cooperation from the interviewees this new measure that depends only on the design parameters of the RR devices may be disclosed to the respondents before producing the RR by implementing the randomization device.

A Method to Elicit Privacy Requirements and Build Privacy Assurance Cases for Privacy Friendly System (프라이버시 친화 시스템 개발을 위한 프라이버시 요구사항 도출 및 보증 사례 작성)

  • Cho, Ju Hye;Lee, Seok-Won
    • Journal of KIISE
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    • v.44 no.9
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    • pp.918-931
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    • 2017
  • Recently, the spread of smartphones and various wearable devices has led to increases in the accumulation and usage of personal information. As a result, privacy protection has become an issue. Even though there have been studies and efforts to improve legal and technological security measures for protecting privacy, personal information leakage accidents still occur. Rather than privacy requirements, analysts mostly focus on the implementation of security technology within software development. Previous studies of security requirements strongly focused on supplementing the basic principles and laws for privacy protection and securing privacy requirements without understanding the relationship between privacy and security. As a result, personal information infringement occurs continuously despite the development of security technologies and the revision of the Personal Information Protection Act. Therefore, we need a method for eliciting privacy requirements based on related privacy protection laws that are applicable to software development. We also should clearly specify the relationship between privacy and security. This study aims to elicit privacy requirements and create privacy assurances cases for Privacy Friendly System development.

A Study on Patients' Perception of Nurse's Behavior in Protecting Patient Privacy (간호사의 환자 프라이버시 보호행동에 대한 환자의 인식도)

  • Lee, Mi-Young;Song, Young-Shin
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.14 no.2
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    • pp.204-212
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    • 2007
  • Purpose: The purpose of this study was to investigate the patient's perception of the nurse's behavior in protecting patient privacy and to make suggestions for medical facilities to increase protection of patient privacy. Method: The research was a survey study The data on protection of privacy in primary nursing, for physical privacy, of patient information and in private conversations were collected in October 2005 from 187 patients in a university hospital. Frequencies, means, t-test, ANOVA, and $x^2$-test were used to analyze the data. The SPSS 13.0 for Windows program was used. Results: The mean score for patients' perception of nurse protection of their privacy was 3.33. There were significant differences in perception of protecting patients' privacy according to gender for private conversation, according to level of education for all but physical nursing and for number of admissions for total score and for primary nursing. Conclusion: The results of this study suggest the following: a) Institutional polices and nursing guideline should be clearly stated as to the nurses' duty to protect patient privacy. b) Medical facilities should be arranged in a way that allows for the protection of patients' medical information, and should focus on patient privacy. c) It is necessary of nurses to receive periodic in-service education on protecting patient privacy.

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Study on Social Network Service(SNS) Users' Privacy Protection Behavior : Focusing on the protection motivation theory (소셜 네트워크 서비스(SNS) 이용자들의 개인정보보호 행동에 관한 연구: 보호동기이론을 중심으로)

  • Kim, Jung-Eun;Kim, Seong-Jun;Kwon, Do-Soon
    • The Journal of Information Systems
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    • v.25 no.3
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    • pp.1-30
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    • 2016
  • Purpose The purpose of this study is to grasp the factors influencing domestic SNS users' privacy protection behavior and verify their relationship through self-efficacy and responsiveness. Thus, this study tries to suggest efficient and effective measures for SNS personal information protection. Design/methodology/approach To this end, with main variables of the protection motivation theory based on the assumption that when users are exposed to the threat to their health, they would have protection motivation and change their behavior of protecting their health, a research model was suggested. In addition, in order to empirically verify the research model, a survey was performed targeting general college students having the experience of using SNS. Findings As a result of the analysis, first, perceived effectiveness and self-efficacy had a positive effect on responsiveness. Second, perceived barrier had a positive effect on self-efficacy. Third, self-efficacy and responsiveness had a positive effect on privacy protection behavior. This study is expected to contribute to establishing an effective guideline for measures that could induce SNS users' privacy protection behavior.

The Experimental Research of Protection Behavior depends on Privacy Concern about Personal Information Protection on Privacy Policy for KakaoTalk Users (개인정보 취급방침의 인지가 개인정보보호 행동에 미치는 영향: 카카오톡 이용자를 중심으로)

  • Lee, Eun Suk;Lee, Zoon Ky;Cha, Kyung Jin
    • The Journal of Society for e-Business Studies
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    • v.21 no.2
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    • pp.135-150
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    • 2016
  • As the privacy issues are all around the world, the intrusion into personal privacy is concerning. For that reason, government established the article from the personal information protection law that has to notice the privacy policy to users on the online site. and the matter of privacy invasion make concern toward behavior of online user. Although there are rules to carrying legal binding force in accordance with, because it is full of text and uncomfortable to read so that its readability is low. In the same context, each other has different state of understanding with the policy for personal information has been playing an important role. In this approach, companies and government do not think this over deeply and do just for what their practical use is. That is the reason why this research start, and the result expecting for real. As the result in the participant who cognize the privacy policy display pattern, they have certain type to do. In this article, the certain behavior doing is remarkable with the privacy policy. According to privacy concern, privacy fundamentalist reveals such a compromise reaction to protect their information when they know what information which the privacy manager of service provider collect. This study arrives at the result depending on the gap of privacy group that the group of checking the policy contents, especially the group which has high privacy concern, they move forward to protect their emotion and put a constructive plan into protective action. Otherwise, the group of unchecking the policy contents and following their own thinking of privacy policy are not deemed statistically significant. Therefore, this is considered to support more various implications than the previous issues and alternatives about privacy policy pattern and user protection behavior of privacy.

An Extended Role-based Access Control Model with Privacy Enforcement (프라이버시 보호를 갖는 확장된 역할기반 접근제어 모델)

  • 박종화;김동규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.8C
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    • pp.1076-1085
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    • 2004
  • Privacy enforcement has been one of the most important problems in IT area. Privacy protection can be achieved by enforcing privacy policies within an organization's data processing systems. Traditional security models are more or less inappropriate for enforcing basic privacy requirements, such as privacy binding. This paper proposes an extended role-based access control (RBAC) model for enforcing privacy policies within an organization. For providing privacy protection and context based access control, this model combines RBAC, Domain-Type Enforcement, and privacy policies Privacy policies are to assign privacy levels to user roles according to their tasks and to assign data privacy levels to data according to consented consumer privacy preferences recorded as data usage policies. For application of this model, small hospital model is considered.

A Role-play Approach for Privacy Protection Inspiration of Elementary Students

  • Park, Gwi-Ja;Rhee, Kyung-Hyune
    • Journal of Korea Multimedia Society
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    • v.12 no.12
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    • pp.1796-1808
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    • 2009
  • Elementary school students have a little awareness of privacy protection since they do not have many opportunities for systematic education on information and communication ethics. Hence, they are likely to expose their own information to others and sometimes bring on a lot of misuses by using others' information. In this paper, we provide an idea for teaching and learning methods which the elementary school students acquire privacy protection and management methods and raise their practical capabilities. We develop a role play teaching and learning model in connection with various Information and Communication Technology (ICT) activities and establish the instruction plans. Moreover, we apply them to the actual classes at grade five and six of the elementary school students respectively, and finally analyze the results. The proposed teaching and learning method shows that the students participated in a series of learning activities have higher learning effects on awareness of privacy protection than those learned with the conventional methods.

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A Privacy Negotiation Algorithm for Digital Rights Management

  • Phuttharak, Jurairat;Sathitwiriyawong, Chanboon
    • 제어로봇시스템학회:학술대회논문집
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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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A Cache Privacy Protection Mechanism based on Dynamic Address Mapping in Named Data Networking

  • Zhu, Yi;Kang, Haohao;Huang, Ruhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.12
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    • pp.6123-6138
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    • 2018
  • Named data networking (NDN) is a new network architecture designed for next generation Internet. Router-side content caching is one of the key features in NDN, which can reduce redundant transmission, accelerate content distribution and alleviate congestion. However, several security problems are introduced as well. One important security risk is cache privacy leakage. By measuring the content retrieve time, adversary can infer its neighbor users' hobby for privacy content. Focusing on this problem, we propose a cache privacy protection mechanism (named as CPPM-DAM) to identify legitimate user and adversary using Bloom filter. An optimization for storage cost is further provided to make this mechanism more practical. The simulation results of ndnSIM show that CPPM-DAM can effectively protect cache privacy.