000			03527nam a22005295i 4500
001			978-0-387-47653-7
003			DE-He213
005			20250710084001.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387476537 _a99780387476537
024	7		_a10.1007/978-0-387-47653-7 _2doi
082	0	4	_a005.8 _223
100	1		_aSinghal, Anoop. _eauthor.
245	1	0	_aData Warehousing and Data Mining Techniques for Cyber Security _h[recurso electrónico] / _cby Anoop Singhal.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXIII, 159 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Information Security, _x1568-2633 ; _v31
505	0		_aAn Overview of Data Warehouse, OLAP and Data Mining Technology -- Network and System Security -- Intrusion Detection Systems -- Data Mining for Intrusion Detection -- Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection -- Minds: Architecture & Design -- Discovering Novel Attack Strategies from Infosec Alerts.
520			_aData warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important. Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few. Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.
650		0	_aCOMPUTER SCIENCE.
650		0	_aDATA PROTECTION.
650		0	_aDATA STRUCTURES (COMPUTER SCIENCE).
650		0	_aDATA ENCRYPTION (COMPUTER SCIENCE).
650		0	_aDATABASE MANAGEMENT.
650		0	_aDATA MINING.
650		0	_aINFORMATION STORAGE AND RETRIEVAL SYSTEMS.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aSYSTEMS AND DATA SECURITY.
650	2	4	_aDATA MINING AND KNOWLEDGE DISCOVERY.
650	2	4	_aDATA STRUCTURES, CRYPTOLOGY AND INFORMATION THEORY.
650	2	4	_aDATABASE MANAGEMENT.
650	2	4	_aDATA ENCRYPTION.
650	2	4	_aINFORMATION STORAGE AND RETRIEVAL.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387264097
830		0	_aAdvances in Information Security, _x1568-2633 ; _v31
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-47653-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c57742 _d57742