Introduction to privacy-preserving data publishing : concepts and techniques /: concepts and techniques. (©2011)

• Record Type: Book
• Further Information: Note: Benjamin C.M. Fung [and others].
• Other Names: Fung, Benjamin C. M
• Contents: THE FUNDAMENTALS; Introduction ; Data Collection and Data Publishing; What Is Privacy-Preserving Data Publishing?; Related Research Areas Attack Models and Privacy Models ; Record Linkage Model; Attribute Linkage Model; Table Linkage Model; Probabilistic Model; Modeling Adversary’s Background Knowledge Anonymization Operations; Generalization and Suppression; Anatomization and Permutation; Random Perturbation Information Metrics; General Purpose Metrics; Special Purpose Metrics; Trade-Off Metrics Anonymization Algorithms ; Algorithms for the Record Linkage Model; Algorithms for the Attribute Linkage Model; Algorithms for the Table Linkage Model; Algorithms for the Probabilistic Attack; Attacks on Anonymous Data ANONYMIZATION FOR DATA MINING; Anonymization for Classification Analysis ; Introduction; Anonymization Problems for Red Cross BTS; High-Dimensional Top-Down Specialization (HDTDS); Workload-Aware Mondrian; Bottom-Up Generalization; Genetic Algorithm; Evaluation Methodology; Summary and Lesson Learned Anonymization for Cluster Analysis ; Introduction; Anonymization Framework for Cluster Analysis; Dimensionality Reduction-Based Transformation; Related Topics; Summary EXTENDED DATA PUBLISHING SCENARIOS; Multiple Views Publishing; Introduction; Checking Violations of k -Anonymity on Multiple Views; Checking Violations with Marginals; Multi-Relational k -Anonymity; Multi-Level Perturbation; Summary Anonymizing Sequential Releases with New Attributes; Introduction; Monotonicity of Privacy; Anonymization Algorithm for Sequential Releases; Extensions ; Summary Anonymizing Incrementally Updated Data Records ; Introduction; Continuous Data Publishing; Dynamic Data Republishing; HD-Composition; Summary Collaborative Anonymization for Vertically Partitioned Data ; Introduction; Privacy-Preserving Data Mashup; Cryptographic Approach; Summary and Lesson Learned Collaborative Anonymization for Horizontally Partitioned Data ; Introduction; Privacy Model; Overview of the Solution; Discussion ANONYMIZING COMPLEX DATA; Anonymizing Transaction Data; Introduction; Cohesion Approach; Band Matrix Method; km -Anonymization; Transactional k -Anonymity; Anonymizing Query Logs; Summary Anonymizing Trajectory Data; Introduction; LKC-Privacy; (k, δ )-Anonymity; MOB k -Anonymity; Other Spatio-Temporal Anonymization Methods; Summary Anonymizing Social Networks ; Introduction; General Privacy-Preserving Strategies; Anonymization Methods for Social Networks; Data Sets; Summary Sanitizing Textual Data ; Introduction; ERASE; Health Information DE-identification (HIDE); Summary Other Privacy-Preserving Techniques and Future Trends; Interactive Query Model; Privacy Threats Caused by Data Mining Results; Privacy-Preserving Distributed Data Mining; Future Directions References
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2011
• Copyright Date: 2011
• Extent: 1 online resource (xxxii, 344 pages), illustrations
• Subjects: 005.8; Database security; Confidential communications; COMPUTERS -- Internet -- Security; COMPUTERS -- Networking -- Security; COMPUTERS -- Security -- General; Confidential communications; Database security; Electronic books
• Languages: English
• ISBNs: 9781420091502; 1420091506
• Related ISBNs: 9781420091489; 1420091484
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.