000			01661nam a2200241Ia 4500
003			NULRC
005			20250520100703.0
008			250520s9999 xx 000 0 und d
020			_a9781118793725
040			_cNULRC
050			_aQA 76.9.A25 .J33 2014
100			_aJacobs, Jay _eauthor
245		0	_aData-driven security : _banalysis, visualization and dashboards / _cJay Jacobs and Bob Rudis
260			_aIndiana : _bWiley, _cc2014
300			_axix, 331 pages : _billustrations ; _c23 cm.
365			_bUSD484.04
504			_aIncludes bibliographical references and index.
505			_aChapter 1. The Journey to data-driven security -- Chapter 2. Building your analytics toolbox : a primer on using R and python for security analysis -- Chapter 3. learning the "hello world" of security data analysis -- Chapter 4. Performing exploratory security data analysis -- Chapter 5. From maps to regression -- Chapter 6. Visualizing security data -- chapter 7. Learning from security breaches -- Chapter 8 . Breaking up with your relational database -- Chapter 9. Demystifying machine learning -- Chapter 10. Designing effective security dashboards -- Chapter 11. Building interactive security visualizations -- Chapter 12. Moving toward data-driven security.
520			_aUncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization.
650			_aCOMPUTER SECURITY
700			_aRudis, Bob _eco-author
942			_2lcc _cBK
999			_c11451 _d11451