eBook - PDF
Network Anomaly Detection
A Machine Learning Perspective
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- 366 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Network Anomaly Detection
A Machine Learning Perspective
Book details
Table of contents
Citations
About This Book
With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavi
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Yes, you can access Network Anomaly Detection by Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- Abstract
- Authors
- 1. Introduction
- 2. Networks and Anomalies
- 3. An Overview of Machine Learning Methods
- 4. Detecting Anomalies in Network Data
- 5. Feature Selection
- 6. Approaches to Network Anomaly Detection
- 7. Evaluation Methods
- 8. Tools and Systems
- 9. Open Issues, Challenges and Concluding Remarks
- References