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008			211030s2021 sz | s |||| 0|eng d
020			_a9783030810436
024	7		_a10.1007/978-3-030-81043-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A25 _b2021 EB
100	1		_aAdams, Carlisle, _9681523 _d1961-
245	1	0	_aIntroduction to Privacy Enhancing Technologies _bA Classification-Based Approach to Understanding PETs _cby Carlisle Adams.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIII, 324 páginas) _b21 ilustraciones, 14 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_a1. The Privacy Minefield -- 2. A Collection of Tools: The Privacy Tree -- 3. Limiting Exposure by Hiding -- 4. Limiting Exposure by Hiding the Action -- 5. Limiting Exposure by Hiding the Identity-Action Pair -- 6. Limiting Disclosure by Hiding the Identity -- 7. Limiting Disclosure by Hiding the Attribute -- 8. Limiting Disclosure by Hiding the Identity-Attribute Pair -- 9. Using the Privacy Tree in Practice -- 10. The Path Forward -- Supplemental Chapters -- 11. Crypto Primer -- 12. Source Material -- Glossary -- Index.
520	3		_aThis textbook provides a unique lens through which the myriad of existing Privacy Enhancing Technologies (PETs) can be easily comprehended and appreciated. It answers key privacy-centered questions with clear and detailed explanations. Why is privacy important? How and why is your privacy being eroded and what risks can this pose for you? What are some tools for protecting your privacy in online environments? How can these tools be understood, compared, and evaluated? What steps can you take to gain more control over your personal data? This book addresses the above questions by focusing on three fundamental elements: It introduces a simple classification of PETs that allows their similarities and differences to be highlighted and analyzed; It describes several specific PETs in each class, including both foundational technologies and important recent additions to the field; It explains how to use this classification to determine which privacy goals are actually achievable in a given real-world environment. Once the goals are known, this allows the most appropriate PETs to be selected in order to add the desired privacy protection to the target environment. To illustrate, the book examines the use of PETs in conjunction with various security technologies, with the legal infrastructure, and with communication and computing technologies such as Software Defined Networking (SDN) and Machine Learning (ML). Designed as an introductory textbook on PETs, this book is essential reading for graduate-level students in computer science and related fields, prospective PETs researchers, privacy advocates, and anyone interested in technologies to protect privacy in online environments.
988			_aSpringer_Computer_2021
650		7	_2embne _aSeguridad informática _9158200
776	0	8	_iPrinted edition: _z9783030810429
776	0	8	_iPrinted edition: _z9783030810443
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81043-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI