Threat Forecasting
Leveraging Big Data for Predictive Analysis
Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
| Author: | John Pirc, David DeSanto, Iain Davison, Will Gragido | ISBN: | 9780128004784 |
| Publisher: | Elsevier Science | Publication: | May 17, 2016 |
| Imprint: | Syngress | Language: | English |
| Author: | John Pirc, David DeSanto, Iain Davison, Will Gragido |
| ISBN: | 9780128004784 |
| Publisher: | Elsevier Science |
| Publication: | May 17, 2016 |
| Imprint: | Syngress |
| Language: | English |
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
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
