Intrusion Detection A Data Mining Approach
This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncert...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Cognitive Intelligence and Robotics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1. Introduction
- Chapter 2. Discretization
- Chapter 3. Data Reduction
- Chapter 4. Q-Learning Classifiers
- Chapter 5. Hierarchical Q - Learning Classifier
- Chapter 6. Conclusions and Future Research