دانلود کتاب Citizen Privacy Framework: Case of a Fuzzy-based Recommender System for Political Participation

فهرست مطالب :

Foreword Acknowledgments Contents List of Figures List of Tables List of Acronyms 1 Introduction 1.1 Motivation 1.2 Objectives 1.3 Research Questions 1.4 Research Methods 1.5 Thesis Outline 1.6 Own Research Contribution References 2 Insights into Privacy Research 2.1 Economics of Privacy—a Rational Human 2.1.1 Privacy Calculus 2.1.2 Death to Privacy Calculus? 2.1.3 Privacy Paradox 2.2 Beyond Rationality—Human Cognition 2.2.1 Cognitive Heuristics Behind Disclosure Decisions 2.2.2 Enforced by Individual Characteristics? 2.3 Automating User Privacy Support References 3 Citizen Privacy Profile Framework 3.1 Conceptual Development 3.1.1 Overview of Existing Privacy Frameworks Liu et al. framework Aimeur et al. Framework Knijnenburg et al. Framework 3.1.2 Citizen Privacy Profile (CPP) Framework Voting Advice Applications Citizen Privacy Profile Framework 3.1.3 Evaluation of CPP Framework 3.2 Implementation of CPP 3.2.1 Platform Description Platform Blocks Type of Content User Roles 3.2.2 Privacy Settings Functionality Information: Data Levels Social Network: Audience Levels 3.2.3 Privacy Profiles Extraction 3.3 User Privacy Profiles Modelling 3.3.1 Fuzzy Clustering Dataset Clustering Tendency Fuzzy C-Means Clustering Partitioning Around Medoids Clustering Measuring Distances 3.3.2 Evaluation of Clustering Validity Partition Coefficient (PC) Partition Entropy (PE) Modified Partition Coefficient (MPC) Xie and Beni Index (XBI) Crisp Silhouette (CS) Fuzzy Silhouette (FS) Analysis of the Validation Results 3.3.3 Discussion of Fuzzy Privacy Profiles 3.4 User Evaluation of Privacy Behaviour 3.4.1 Objective System Aspect 3.4.2 User Experience 3.4.3 Personal Characteristics 3.4.4 Evaluation Analysis Independent Variables Analysis Combined Variable Analysis 3.5 Conclusions References 4 Fuzzy-Based Privacy Settings Recommender System 4.1 Conceptual Development 4.1.1 Overview of the Existing Systems Privacy Wizard YourPrivacyProtector Personalised Privacy Assistant 4.1.2 Fuzzy-Based Privacy Settings Recommender System (FPRS) 4.2 Implementation of FPRS 4.2.1 Prototype Architecture 4.2.2 Recommendations Calculation 4.2.3 Evaluation of Recommendations Accuracy 4.3 User Evaluation of Privacy Recommendations 4.3.1 Objective System Aspects 4.3.2 Subjective System Aspects Perceived Recommendation Sharpness Perceived Recommendation Quality 4.3.3 User Experience Persuasion Effect Reactance Effect Outcome Satisfaction 4.3.4 Personal Characteristics Inconsistent/Consistent Privacy Behaviour 4.3.5 Evaluation Setup Experimental Manipulations Experimental Procedures Defining Measurements 4.3.6 Evaluation Analysis 4.4 Conclusions References 5 Conclusions 5.1 Discussions 5.1.1 Implication to the Public Need 5.1.2 Implication to the Knowledge Base 5.1.3 Limitations of the Research 5.1.4 Answering Research Questions 5.2 Future Outlook References Appendix A A.1 Privacy Profiles Extraction Appendix B B.1 User Evaluation Survey for Privacy Behaviour Appendix C C.1 User Evaluation Setup