000			03751nam a22004335i 4500
001			u372866
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007			cr nn 008mamaa
008			100716s2010 xxk| s |||| 0|eng d
020			_a9781849962384 _9978-1-84996-238-4
040			_cMX-MeUAM
050		4	_aQA76.9.A25
082	0	4	_a005.8 _223
100	1		_aNin, Jordi. _eeditor.
245	1	0	_aPrivacy and Anonymity in Information Management Systems _h[recurso electrónico] : _bNew Techniques for New Practical Problems / _cedited by Jordi Nin, Javier Herranz.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2010.
300			_aXIV, 198 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvanced Information and Knowledge Processing, _x1610-3947
505	0		_aOverview -- to Privacy and Anonymity in Information Management Systems -- Advanced Privacy-Preserving Data Management and Analysis -- Theory of SDC -- Practical Applications in Statistical Disclosure Control Using R -- Disclosure Risk Assessment for Sample Microdata Through Probabilistic Modeling -- Exploiting Auxiliary Information in the Estimation of Per-Record Risk of Disclosure -- Statistical Disclosure Control in Tabular Data -- Preserving Privacy in Distributed Applications -- From Collaborative to Privacy-Preserving Sequential Pattern Mining -- Pseudonymized Data Sharing -- Privacy-Aware Access Control in Social Networks: Issues and Solutions.
520			_aThe development of information technologies in the last few years has been remarkable. Large amounts of data are collected and stored by both public institutions and private companies every day. There are clear threats to the privacy of citizens if no care is taken when collecting, storing and disseminating data. Ensuring privacy for individuals in a society when dealing with digital information, is a task which involves many agents, including politicians, legal authorities, managers, developers, and system administrators. Privacy and Anonymity in Information Management Systems deals with the more technical parts of this `privacy cycle', those issues that are mostly related to computer science, and discusses the process by which different privacy mechanisms are motivated, designed, analyzed, tested and finally implemented in companies or institutions. The book is written in such a way that several of the chapters are self-contained and accessible to students, covering topics such as the problem of Statistical Disclosure Control (SDC), i.e. how to modify datasets that contain statistical information before publicly releasing them, and doing so in such a way that the privacy of the confidential original information is preserved; and specific distributed applications involving privacy – how different agents have private inputs but want to cooperate to run some protocol in their own interest, without revealing unnecessary parts of their private inputs. Graduate students and researchers will find this book an excellent resource.
650		0	_aComputer science.
650		0	_aData protection.
650	1	4	_aComputer Science.
650	2	4	_aSystems and Data Security.
700	1		_aHerranz, Javier. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781849962377
830		0	_aAdvanced Information and Knowledge Processing, _x1610-3947
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-84996-238-4
596			_a19
942			_cLIBRO_ELEC
999			_c200746 _d200746