Data Warehousing Data Mining Techniques for Cyber Security 1st edition by Anoop Singhal 9780387476537 0387476539

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ISBN 10: 0387476539
ISBN 13: 9780387476537 
Author: Anoop Singhal

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

Data Warehousing Data Mining Techniques for Cyber Security 1st Table of contents:

1. An Overview of Data Warehouse, OLAP, and Data Mining Technology – Anoop Singhal

2. Network and System Security – Anoop Singhal

3. Intrusion Detection Systems – Anoop Singhal

4. Data Mining for Intrusion Detection – Anoop Singhal

5. Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection – Anoop Singhal

6. Minds: Architecture & Design – Varun Chandola, Eric Eilertson, Levent Ertoz, Gyorgy Simon, Vipin Kumar

7. Discovering Novel Attack Strategies from Infosec Alerts – Xinzhou Qin, Wenke Lee

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