Intrusion Detection in Distributed Systems
An Abstraction-Based Approach
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Beschreibung
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.
Includes machine learning and data mining technologies Unique new approach is superior to existing centralized or hierarchical approaches
Intrusion detection systems (IDS) are usually deployed along with other preventive security mechanisms as a second line of defense that protects information systems. Even if preventive security mechanisms can protect information systems successfully, it is still desirable to know what intrusions have happened or are happening, so that the users can understand the security threats and risks and thus be better prepared for future attacks. This book unites three research contributions detailing new approaches that are superior to existing centralized or hierarchical approaches.
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Themen in »Intrusion Detection in Distributed Systems«
Host access control authentication computer computer science distributed systems electrical engineering information intrusion detection security data structures