Overview
- 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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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.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
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
Book Title: Intrusion Detection in Distributed Systems
Book Subtitle: An Abstraction-Based Approach
Authors: Peng Ning, Sushil Jajodia, X. Sean Wang
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-1-4615-0467-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-7624-4Published: 31 October 2003
Softcover ISBN: 978-1-4613-5091-0Published: 26 April 2013
eBook ISBN: 978-1-4615-0467-2Published: 06 December 2012
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: XIX, 136
Topics: Data Structures and Information Theory, Cryptology, Computer Communication Networks, Computer Systems Organization and Communication Networks, Input/Output and Data Communications, Data Structures