Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection, 1st Edition

  • Yun Wang
  • Published By:
  • ISBN-10: 1599047101
  • ISBN-13: 9781599047102
  • DDC: 005.8
  • Grade Level Range: College Freshman - College Senior
  • 461 Pages | eBook
  • Original Copyright 2008 | Published/Released July 2009
  • This publication's content originally published in print form: 2008

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Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
1: Foundations.
2: Statistical Opportunities, Roles, and Challenges in Network Security.
3: Statistical Analysis Software.
4: Network Traffic and Data.
5: Network Data Characteristics.
6: Data Mining and Modeling.
7: Exploring Network Data.
8: Data Reduction.
9: Models Network Data for Association and Prediction.
10: Measuring User Behavior.
11: Classifications, Profiles, and Making Better Decisions.
12: Classification Based on Supervised Learning.
13: Classification Based on Unsupervised Learning.
14: Decision Analysis in Network Security.
15: Evaluation.
About the Author.