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Data Warehousing and Data Mining Techniques for Cyber Security

  • Anoop Singhal

Part of the Advances in Information Security book series (ADIS, volume 31)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Anoop Singhal
    Pages 25-42
  3. Anoop Singhal
    Pages 43-57
  4. Anoop Singhal
    Pages 59-67
  5. Varun Chandola, Eric Eilertson, Levent Ertoz, Gyorgy Simon, Vipin Kumar
    Pages 83-107
  6. Xinzhou Qin, Wenke Lee
    Pages 109-157
  7. Back Matter
    Pages 159-162

About this book

Introduction

Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important.

Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few.

Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.

Keywords

Cyber Data Data Warehousing Denial of Service Information LA Security Singhal Techniques bioinformatics data analysis data mining data warehouse proving

Authors and affiliations

  • Anoop Singhal
    • 1
  1. 1.NIST, Computer Security DivisionNational Institute of Standards and TechGaithersburg

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-47653-7
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-26409-7
  • Online ISBN 978-0-387-47653-7
  • Series Print ISSN 1568-2633
  • Buy this book on publisher's site