Data Warehousing and Data Mining Techniques for Cyber Security

Overview

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a ...

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Hardcover (2007)
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Overview

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

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Product Details

  • ISBN-13: 9780387264097
  • Publisher: Springer US
  • Publication date: 12/13/2006
  • Series: Advances in Information Security Series , #31
  • Edition description: 2007
  • Edition number: 1
  • Pages: 159
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.44 (d)

Table of Contents

An Overview of Data Warehouse, OLAP and Data Mining Technology.- Network and System Security.- Intrusion Detection Systems.- Data Mining for Intrusion Detection.- Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection.- Minds: Architecture & Design.- Discovering Novel Attack Strategies from Infosec Alerts.

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