Threat Forecasting: Leveraging Big Data for Predictive Analysis

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9780128000069: Threat Forecasting: Leveraging Big Data for Predictive Analysis

Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses the dangers associated with relying on historical data, security incident reports, and network analysis to predict future security breaches.

Readers will gain valuable security insights into unstructured big data and how to use it to their advantage to reduce risk.

Drawing upon years of practical experience and using numerous examples and illustrative case studies, the book discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. In addition, a proven methodology that can be used to create a full threat forecast analysis for any size enterprise network is included.

  • Discusses the danger of using historic data as the basis for predicting future breaches
  • Explains how to use security intelligence as a tool to develop threat forecasting techniques
  • Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools
  • Explores the usage of kill chain modeling to inform actionable security intelligence
  • Presents a methodology that can be used to create a full threat forecast analysis for any size enterprise network.

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About the Author:

John Pirc has more than 15 years of experience in Security R&D, worldwide security product management, marketing, testing, forensics, consulting, and critical infrastructure architecting and deployment. Additionally, John is an advisor to HP’s CISO on Cyber Security and lectured at the US Naval Post Graduate School.

John extensive expertise in the Security field stems from past work experience with the Central Intelligence Agency in Cyber Security, as Chief Technology Officer at CSG LTD, Product Manager at Cisco, Product Line Executive for all security products at IBM Internet Security Systems, Director at McAfee's Network Defense Business Unit and currently the Director of Product Management at HP Enterprise Security Products leading the strategy for the organization's next generation security platforms.

In addition to a BBA from the University of Texas, John also holds the NSA-IAM and CEH certifications. He has been named security thought leader from SANS Institute and speaks at top tier security conferences worldwide and is most recently published in Forbes on Social Media security.

David DeSanto is a leader in network security with over 15 years of security testing, software development, product management and strategic innovation experience. Currently, he works for Spirent Communications where he focuses on driving innovation by looking holistically at security testing and defining product requirements with the primary goal of making all results repeatable. David is a strong technical leader with firm understanding of TCP/IP as well as multiple Layer 7 protocols including HTTP, SMTP and SIP. Prior to Spirent, David’s career has included roles at the industry’s top security research and testing labs where his expertise guided these organizations in creating industry leading security tests and solutions for enterprises, services providers and network equipment vendors. David has presented at several major conferences including recently at the RSA Conference USA 2014 where he spoke on the impacts of SSL decryption on today’s next generation security products.

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Pirc, John; DeSanto, David
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Book Description Elsevier Science Publishing Co Inc, United States, 2016. Paperback. Book Condition: New. 235 x 190 mm. Language: English . Brand New Book. Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk. Bookseller Inventory # AAU9780128000069

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Book Description Elsevier Science Publishing Co Inc, United States, 2016. Paperback. Book Condition: New. 235 x 190 mm. Language: English . Brand New Book. Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk. Bookseller Inventory # AAU9780128000069

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Book Description Elsevier Science Publishing Co Inc. Paperback. Book Condition: new. BRAND NEW, Threat Forecasting: Leveraging Big Data for Predictive Analysis, John Pirc, David DeSanto, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses the dangers associated with relying on historical data, security incident reports, and network analysis to predict future security breaches. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk. Drawing upon years of practical experience and using numerous examples and illustrative case studies, the book discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. In addition, a proven methodology that can be used to create a full threat forecast analysis for any size enterprise network is included. * Discusses the danger of using historic data as the basis for predicting future breaches* Explains how to use security intelligence as a tool to develop threat forecasting techniques* Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools* Explores the usage of kill chain modeling to inform actionable security intelligence* Presents a methodology that can be used to create a full threat forecast analysis for any size enterprise network. Bookseller Inventory # B9780128000069

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