Machine Learning and Data Mining for Computer Security Methods and Applications /

The Internet began as a private network connecting government, military, and academic researchers. As such, there was little need for secure protocols, encrypted packets, and hardened servers. When the creation of the World Wide Web unexpectedly ushered in the age of the commercial Internet, the net...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Maloof, Marcus A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Advanced Information and Knowledge Processing,
Temas:
Artificial intelligence.
Computer networks .
Application software.
Artificial Intelligence.
Computer Communication Networks.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Survey Contributions
  • An Introduction to Information Assurance
  • Some Basic Concept of Machine Learning and Data Mining
  • Research Contributions
  • Learning to Detect Malicious Executables
  • Data Mining Applied to Intrusion Detection: MITRE Experiences
  • Intrusion Detection Alarm Clustering
  • Behavioral Features for Network Anomaly Detection
  • Cost-Sensitive Modeling for Intrusion Detection
  • Data Cleaning and Enriched Representations for Anomaly Detection in System Calls
  • A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection.

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