Data Warehousing and Data Mining Techniques for Cyber Security

✍ Scribed by Anoop Singhal (auth.)

• Publisher: Springer US
• Year: 2007
• Tongue: English
• Leaves: 165
• Series: Advances in Information Security 31
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiii
An Overview of Data Warehouse, OLAP and Data Mining Technology....Pages 1-23
Network and System Security....Pages 25-42
Intrusion Detection Systems....Pages 43-57
Data Mining for Intrusion Detection....Pages 59-67
Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection....Pages 69-82
Minds: Architecture & Design....Pages 83-107
Discovering Novel Attack Strategies from Infosec Alerts....Pages 109-157
Back Matter....Pages 159-162

✦ Subjects

Systems and Data Security; Data Mining and Knowledge Discovery; Data Structures, Cryptology and Information Theory; Database Management; Data Encryption; Information Storage and Retrieval