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. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.
- ISBN10 6611827757
- ISBN13 9786611827755
- Publish Date 1 January 2009 (first published 1 January 2008)
- Publish Status Active
- Out of Print 27 September 2011
- Publish Country US
- Imprint IGI Global
- Format eBook
- Pages 475
- Language English