A Model-Based Real-Time Intrusion Detection System for Large Scale Heterogeneous Networks
Abstract
This final report from the University of California Santa Barbara for their grant entitled "A Model-Based Real-Time Intrusion Detection System for Large Scale Heterogeneous Networks" describes the approach and accomplishments of the research effort. The primary objective for this research was to determine the feasibility of using the State Transition Analysis Technique (STAT) to model and detect Intrusions in large-scale, heterogeneous networks. An additional goal was to develop an extensible framework that supports the development of new STAT-based intrusion detection systems to match new domain and environments. Finally, a goal of this project was to provide a communication and control infrastructure that is able to collect the alerts produced by the sensors, control their configuration, and coordinate their response.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2003
- Accession Number
- ADA420824
Entities
People
- Giovanni Vigna
- Richard A. Kemmer
Organizations
- University of California, Santa Barbara