000			02159cam a2200385Ii 4500
001			9780429101953
008			180331t20152015flua ob 001 0 eng d
020			_a9780429101953 _q(e-book : PDF)
020			_z9781466569430 _q(hardback)
024	7		_a10.1201/b17258 _2doi
035			_a(OCoLC)889309886
040			_aFlBoTFG _cFlBoTFG _erda
050		4	_aTK5105.88815 _b.T594 2014
082	0	4	_a025.0427028558 _bT536
100	1		_aThuraisingham, Bhavani M., _eauthor. _915304
245	1	0	_aSecure data provenance and inference control with semantic web / _cBhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar.
264		1	_aBoca Raton : _bCRC Press, _c[2015]
264		4	_c©2015
300			_a1 online resource
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
505	0		_asection 1. Supporting technologies -- section 2. Secure data provenance -- section 3. Inference control -- section 4. Unifying framework.
520			_aWith the explosion of information on the web, it is critical to understand the provenance of the data, which includes its pedigree, quality, and accuracy. At the same time, the provenance data must be secured. This book describes a detailed step-by-step approach to securing provenance data and ensuring that the data cannot be subject to inference attacks. It presents solutions with case studies in the healthcare domain, describes the design and implementation of a policy engine for provenance, and demonstrates the use of semantic web technologies as well as cloud computing technologies for enhancing the scalability of solutions-- _cProvided by publisher.
650		0	_aSemantic web. _910479
650		0	_aDatabase security. _911507
650		0	_aInference. _915305
650		0	_aAuthentication. _915306
700	1		_aCadenhead, Tyrone, _eauthor. _915307
700	1		_aKantarcioglu, Murat, _eauthor. _915308
700	1		_aKhadilkar, Vaibhav, _eauthor. _915309
776	0	8	_iPrint version: _z9781466569430 _w(DLC) 2014013361
856	4	0	_uhttps://www.taylorfrancis.com/books/9781466569447 _zClick here to view.
942			_cEBK
999			_c70941 _d70941