Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection

Authors:
Yun Wang
Affiliations:
-
Venue:
Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection
Year:
2008

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Abstract

Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection. Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection.