Book contents
- Data Analytics for Cybersecurity
- Data Analytics for Cybersecurity
- Copyright page
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Understanding Sources of Cybersecurity Data
- 3 Introduction to Data Mining
- 4 Big Data Analytics and Its Need for Cybersecurity
- 5 Types of Cyberattacks
- 6 Anomaly Detection for Cybersecurity
- 7 Anomaly Detection Methods
- 8 Cybersecurity through Time Series and Spatial Data
- 9 Cybersecurity through Network and Graph Data
- 10 Human-Centered Data Analytics for Cybersecurity
- 11 Future Directions in Data Analytics for Cybersecurity
- References
- Index
6 - Anomaly Detection for Cybersecurity
Published online by Cambridge University Press: 10 August 2022
Book contents
- Data Analytics for Cybersecurity
- Data Analytics for Cybersecurity
- Copyright page
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Understanding Sources of Cybersecurity Data
- 3 Introduction to Data Mining
- 4 Big Data Analytics and Its Need for Cybersecurity
- 5 Types of Cyberattacks
- 6 Anomaly Detection for Cybersecurity
- 7 Anomaly Detection Methods
- 8 Cybersecurity through Time Series and Spatial Data
- 9 Cybersecurity through Network and Graph Data
- 10 Human-Centered Data Analytics for Cybersecurity
- 11 Future Directions in Data Analytics for Cybersecurity
- References
- Index
Summary
Focusing on what are anomalies are and more specifically what are anomalies in the cybersecurity domain, this chapter discusses some of the features of anomalies.
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- Data Analytics for Cybersecurity , pp. 91 - 100Publisher: Cambridge University PressPrint publication year: 2022