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.
