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001			86284
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007			cr nn 008mamaa
008			160824s2016 gw | s |||| 0|eng d
020			_a9783319426440
040			_aES-MaUEC
050		4	_aQA76.9.A25 _bL589 2016
082	0	4	_a005.8
100	1		_aLiu, Wen Ming _0Local _999889
245	1	0	_aPreserving Privacy Against Side-Channel Leaks : _bFrom Data Publishing to Web Applications _cby Wen Ming Liu, Lingyu Wang
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 142 páginas) _b19 ilustraciones, 1 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in Information Security _x1568-2633 _v68
505	0		_aIntroduction -- Related Work -- Data Publishing: Trading off Privacy with Utility through the k-Jump Strategy -- Data Publishing: A Two-Stage Approach to Improving Algorithm Efficiency -- Web Applications: k-Indistinguishable Traffic Padding -- Web Applications: Background-Knowledge Resistant Random Padding -- Smart Metering: Inferences of Appliance Status from Fine-Grained Readings -- The Big Picture: A Generic Model of Side-Channel Leaks -- Conclusion.
520	3		_aThis book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains. First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy. Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_aSeguridad informática _0comprobar BNE20010505695 _2embne _9158200
650		7	_aSeguridad informática _2embne _0comprobar BNE20010505695 _9158200
700	1		_aWang, Lingyu _0Local _999890
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-42644-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319426440
907			_a.b12955620 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQA76.9.A25 L589 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11597719 _z06-04-17
999			_c86284 _d86284 _x1