Threat Forecasting Leveraging Big Data for Predictive Analysis

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Synopsis

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.

- Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools
- Explores the usage of kill chain modelling to inform actionable security intelligence
- Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size

Book details

Author:
John Pirc, David DeSanto, Iain Davison, Will Gragido
ISBN:
9780128004784
Related ISBNs:
9780128000069
Publisher:
Syngress Publishing
Pages:
188
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-10-10
Usage restrictions:
Copyright
Copyright date:
2016
Copyright by:
Elsevier Science & Technology 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Nonfiction