Data warehousing and data mining techniques for cyber security
Author(s)
Bibliographic Information
Data warehousing and data mining techniques for cyber security
（Advances in information security, 31）
Springer, c2007
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"