Data Warehousing and Data Mining Techniques for Cyber Security

• Main Author: Singhal, Anoop (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2007.
• Series: Advances in Information Security, 31
• Subjects: Computer science.; Computer communication systems.; Computer security.; Data structures (Computer science).; Data encryption (Computer science).; Database management.; Data mining.; Computer Science.; Systems and Data Security.; Computer Communication Networks.; Database Management.; Data Mining and Knowledge Discovery.; Data Structures, Cryptology and Information Theory.; Data Encryption.

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...

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.