ENGLISH

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

By Yun Wang

Book information

Publisher
IGI Global
Year
2008
ISBN
159904708X, 9781599047089, 9781599047102
LCC
TK5105.59 .W36 2008
Language
english
Format
PDF
Filesize
9 MB (9931265 bytes)
Series
Premier Reference Source
Pages
476\476
Scanned
no
Time added
2011-06-04 13:46:07

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. 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.

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