Database Anonymization by Josep Domingo-Ferrer
The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the data refer to. Disclosure risk limitation has a long record in the statistical and computer science research communities, who have developed a variety of privacy-preserving solutions for data releases. This Synthesis Lecture provides a comprehensive overview of the fundamentals of privacy in data releases focusing on the computer science perspective. Specifically, we detail the privacy models, anonymization methods, and utility and risk metrics that have been proposed so far in the literature. Besides, as a more advanced topic, we identify and discuss in detail connections between several privacy models (i.e., how to accumulate the privacy guaranteesthey offer to achieve more robust protection and when such guarantees are equivalent or complementary); we also explore the links between anonymization methods and privacy models (how anonymization methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees). These latter topics are relevant to researchers and advanced practitioners, who will gain a deeper understanding on the available data anonymization solutions and the privacy guarantees they can offer.-
Automated Software Diversity
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Privacy for Location-based Services
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Trust in Social Media
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Cyber-Physical Security and Privacy in the Electric Smart Grid
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Differential Privacy
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Anomaly Detection as a Service
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Blocks and Chains
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Private Information Retrieval
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Privacy Risk Analysis
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Privacy Risk Analysis of Online Social Networks
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Enhancing Information Security and Privacy by Combining Biometrics with Cryptography
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Analysis Techniques for Information Security
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RFID Security and Privacy
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Mobile Platform Security
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Operating System Security
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The Curious Case of Usable Privacy
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Usable Security
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Hardware Malware
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Security and Trust in Online Social Networks
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Digital Forensic Science
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Reversible Digital Watermarking
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Introduction to Secure Outsourcing Computation
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Machine Learning Techniques for Cybersecurity
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Physically Unclonable Functions (PUFs)
Domingo-Ferrer, Josep: - Josep Domingo-Ferrer received an M.Sc. and a Ph.D. in computer science from the Autonomous University of Barcelona in 1988 and 1991, respectively. He also received an M.Sc. degree in mathematics. He is a Distinguished Professor of Computer Science and an ICREA-Acad�mia researcher at the Universitat Rovira i Virgili, Tarragona, Catalonia, where he holds the UNESCO Chair in Data Privacy. His research interests are in data privacy, data security, and cryptographic protocols. He is a Fellow of IEEE.
| SKU | Unavailable |
| ISBN 13 | 9783031012198 |
| ISBN 10 | 3031012194 |
| Title | Database Anonymization |
| Author | Josep Domingo-Ferrer |
| Series | Synthesis Lectures On Information Security Privacy And Trust |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2016-01-11 |
| Number of pages | 120 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |