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, categorizing...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Taylor & Francis
2011.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628296006719 |
Tabla de Contenidos:
- Front Cover; Contents; List of Figures; List of Tables; Preface; Authors; Chapter 1: Introduction; Chapter 2: Classical Machine-Learning Paradigms for Data Mining; Chapter 3: Supervised Learning for Misuse/Signature Detection; Chapter 4: Machine Learning for Anomaly Detection; Chapter 5: Machine Learning for Hybrid Detection; Chapter 6: Machine Learning for Scan Detection; Chapter 7: Machine Learning for Profiling Network Traffic; Chapter 8: Privacy-Preserving Data Mining; Chapter 9: Emerging Challenges in Cybersecurity; Back Cover
