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  • © 2004

Intrusion Detection in Distributed Systems

An Abstraction-Based Approach

  • Includes machine learning and data mining technologies
  • Unique new approach is superior to existing centralized or hierarchical approaches

Part of the book series: Advances in Information Security (ADIS, volume 9)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xix
  2. Introduction

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 1-5
  3. An Overview of Related Research

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 7-12
  4. System View and Event History

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 13-18
  5. Modeling Request Among Cooperating Intrusion Detection Systems

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 19-35
  6. Extending Common Intrusion Detection Framework (CIDF) to Support Queries

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 37-54
  7. A Hierarchical Model for Distributed Attacks

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 55-69
  8. Decentralized Detection of Distributed Attacks

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 71-90
  9. CARDS: An Experimental System for Detecting Distributed Attacks

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 91-109
  10. Conclusion

    • Peng Ning, Sushil Jajodia, X. Sean Wang
    Pages 111-112
  11. Back Matter

    Pages 113-136

About this book

Intrusion Detection In Distributed Systems: An Abstraction-Based Approach presents research contributions in three areas with respect to intrusion detection in distributed systems. The first contribution is an abstraction-based approach to addressing heterogeneity and autonomy of distributed environments. The second contribution is a formal framework for modeling requests among cooperative IDSs and its application to Common Intrusion Detection Framework (CIDF). The third contribution is a novel approach to coordinating different IDSs for distributed event correlation.

Authors and Affiliations

  • North Carolina State University, USA

    Peng Ning

  • George Mason University, USA

    Sushil Jajodia

  • University of Vermont, USA

    X. Sean Wang

About the authors

Dr. Sushil Jajodia is Professor and Chairman of the Dept. of Information and Software Engineering, and Director of the Center for Secure Information Systems at the George Mason University, Fairfax, Virginia, USA

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access