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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Information security analytics : finding security insights, patterns, and anomalies in big data /  [electronic resource] Mark Ryan M. Talabis, Robert McPherson, I. Miyamoto, Jason L. Martin ; D. Kaye, technical editor.</dc:Title>
<dc:Creator>Talabis, Mark, author.</dc:Creator>
<dc:Creator>McPherson, Robert, author.</dc:Creator>
<dc:Creator>Miyamoto, I, author.</dc:Creator>
<dc:Creator>Martin, Jason L., author.</dc:Creator>
<dc:Subject>Computer security.</dc:Subject>
<dc:Subject>Information resources management Security measures.</dc:Subject>
<dc:Subject>Big data Security measures.</dc:Subject>
<dc:Subject>QA76.9.A25 T3358 2015</dc:Subject>
<dc:Subject>005.8 23</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Print version record.</dc:Description>
<dc:Description>The authors 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. -- Edited summary from book.</dc:Description>
<dc:Date>2015</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource (xv, 166 pages) :</dc:Format>
<dc:Identifier>http://www.sciencedirect.com/science/book/9780128002070</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Information Security Analytics.</dc:Relation>
<dc:Relation>Information Security Analytics.</dc:Relation>

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