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Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection
Date: 24 September 2009 | Author: rifi | Views: 476    

Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection Free & Full Download

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

Yun Wang "Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection"
2009 | English | ISBN-13: 978-1-59904-708-9 | 476 Pages | PDF | 7.54 MB


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.


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


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