NetSTAT: A network-based intrusion detection system

Article type: Research Article

Authors: Vigna, Giovanni | Kemmerer, Richard A.

Affiliations: Reliable Software Group, Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA. E-mail: vigna@cs.ucsb.edu, kemm@cs.ucsb.edu

Abstract: Network-based attacks are becoming more common and sophisticated. For this reason, intrusion detection systems are now shifting their focus from the hosts and their operating systems to the network itself. Network-based intrusion detection is challenging because network auditing produces large amounts of data, and different events related to a single intrusion may be visible in different places on the network. This paper presents a new approach that applies the State Transition Analysis Technique (STAT) to network intrusion detection. Network-based intrusions are modeled using state transition diagrams in which states and transitions are characterized in a networked environment. The target network environment itself is represented using a model based on hypergraphs. By using a formal model of both the network to be protected and the attacks to be detected the approach is able to determine which network events have to be monitored and where they can be monitored, providing automatic support for configuration and placement of intrusion detection components.

Keywords: Security, intrusion detection, networks, STAT

DOI: 10.3233/JCS-1999-7103

Journal: Journal of Computer Security, vol. 7, no. 1, pp. 37-71, 1999