| | |  | Privacy | Home » » » Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection (Premier Reference Source) | | | | | | | Description: | | 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. | | | Product Details: | | | Author:
| Yun Wang | | Hardcover:
| 476 pages | | Publisher:
| IGI Global | | Publication Date:
| October 21, 2008 | | Language:
| English | | ISBN:
| 159904708X | | Package Length:
| 10.24 inches | | Package Width:
| 7.17 inches | | Package Height:
| 1.34 inches | | Package Weight:
| 2.69 pounds |
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