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Information security analytics : finding security insights, patterns, and anomalies in big data / Mark Ryan M. Talabis, Robert McPherson, I. Miyamoto, Jason L. Martin ; D. Kaye, technical editor

By: Talabis, Mark
Contributor(s): McPherson, Robert [author] | Miyamoto, I [author] | Martin, Jason L [author] | Ohio Library and Information Network
Material type: TextTextPublisher: Massachusetts : Syngress, 2015Edition: 1st edDescription: 1 online resourceContent type: text | still image Media type: computer Carrier type: online resourceISBN: 9780128005064; 0128005068Subject(s): Computer security | Information resources management -- Security measures | Big data -- Security measuresGenre/Form: Electronic booksAdditional physical formats: Print version:: No titleDDC classification: 001.64 LOC classification: QA76.9.A25 | T3358 2015Online resources: Safari Books Online Connect to resource | Safari Books Online Connect to resource (off-campus) Summary: Information Security Analytics gives you insights into the practice of analytics and more importantly analytic techniques to identify trends and outliers, which may not be possible 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 to mine data and to identify patterns and relationships in security data. Using the techniques covered in this book, you will be able to gain security insight into unstructured data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques using case studies. They demonstrate how you can use freely available tools 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 in your organization. Written by security practitioners, for security practitioners, Learn about open-source analytics and statistical packages, tools and applications, Real-world case studies and scenarios are provided for each analytics technique, Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided, Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes, Learn how to utilize big data techniques to assist in incident response and intrusion analysis Book jacket
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Books Books Centeral Library
Second Floor - Computer Sciences
001.64 T.M.I 2015 (Browse shelf) Available 24007

Includes bibliographical references and index

Available to OhioLINK libraries

Information Security Analytics gives you insights into the practice of analytics and more importantly analytic techniques to identify trends and outliers, which may not be possible 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 to mine data and to identify patterns and relationships in security data. Using the techniques covered in this book, you will be able to gain security insight into unstructured data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques using case studies. They demonstrate how you can use freely available tools 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 in your organization. Written by security practitioners, for security practitioners, Learn about open-source analytics and statistical packages, tools and applications, Real-world case studies and scenarios are provided for each analytics technique, Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided, Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes, Learn how to utilize big data techniques to assist in incident response and intrusion analysis Book jacket

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