Title Statements
- Full title :Threat forecasting : leveraging big data for predictive analysis / John Pirc [and three others].
Summary
This book discusses 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.
Read More ↓Edition Statements
- Publication Date:2016.
- Edition:First edition
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Cambridge, MA
- Language:eng
- Publication Date:2016.
The Physical Object
- Description:xxi, 166 pages ; : 24 cm
Edition Identifiers
- ISBN:9780128000069, 0128000066
- oclc:on1060179034
- LC Classification:QA76.9.A25 .P664 2016
Table of Contents
Front Cover; Threat Forecasting: Leveraging Big Data for Predictive Analysis; Copyright; Contents; About the Authors; Foreword; Why Threat Forecasting is Relevant; What You Will Learn and How You Will Benefit; Preface; Book Organization and Structure; Closing Thoughts; Acknowledgments; Chapter 1: Navigating Todays Threat Landscape; Introduction; Why Threat Forecasting; The Effects of a Data Breach; Barriers to Adopting Threat Forecasting Practices; Going Beyond Historical Threat Reporting; Timing; Generalization; The State of Regulatory Compliance; Industry Specific Guidelines
Healthcare InstitutionsFinancial Institutions; Cyber Security Information Sharing Legislation: Watch this Space; Best Practices, Standards, and Frameworks; PCI DSS; NIST Cyber Security Framework; Defense in Depth; Tier 1 Security Technologies; Tier 2 Security Technologies; Update and Evaluate Security Products and Technologies; Cyber Security and the Human Factor; Today's Information Assurance Needs; Chapter 2: Threat Forecasting; Synopsis; Introduction; Threat Forecasting; Dangers of Technology Sprawl; High Speed Big Data Collection and Surveillance; Threat Epidemiology
High Frequency Security AlgorithmsS…
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