Data mining and machine learning in cybersecurity
"Introducing basic concepts of machine learning and data mining methodologies for cyber security, this book provides a unified reference for specific machine learning solutions and cybersecurity problems. The authors focus on how to apply machine learning methodologies in cybersecurity, categor...
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Format: | Electronic |
Language: | English |
Published: |
Boca Raton :
Taylor & Francis,
2011.
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Online Access: | View fulltext via EzAccess |
Table of Contents:
- 1. Introduction
- 2. Classical machine-learning paradigms for data mining
- 3. Supervised learning for misuse/signature detection
- 4. Machine learning for anomaly detection
- 5. Machine learning for hybrid detection
- 6. Machine learning for scan detection
- 7. Machine learning for profiling network traffic
- 8. Privacy-preserving data mining
- 9. Emerging challenges in cybersecurity.