000			02244nam a2200265Ia 4500
003			OSt
005			20250725095343.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9780128002070
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aD65,8(B):(894) Q5 TD _qCSL
245		0	_aInformation security analytics: finding security insights, patterns and anomalies in big data
260			_aWaltham : _bElsevier, _c2015.
300			_axv, 166p. _b: ill.
500			_aIndex 163-166p.
520			_aInformation Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization.
650			_a Access analytics _9816463
650			_a Security and text mining _9816464
650			_aAnalytics and incident response _9816465
700			_aTalabis, Mark Ryan M _eauthor _9816466
942			_hD65,8(B):(894) Q5 TD _cTB _2CC _n0
999			_c16588 _d16588