Decentralized detector generation in cooperative intrusion detection system

Bye, Rainer, Luther, Katja, Camtepe, Seyit A., Alpcan, Tansu, Albayrak, Sahin, & Yener, Bulent (2007) Decentralized detector generation in cooperative intrusion detection system. Lecture Notes in Computer Science : Stabilization, Safety, and Security of Distributed Systems, 4838, pp. 37-51.

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Abstract

We consider Cooperative Intrusion Detection System (CIDS) which is a distributed AIS-based (Artificial Immune System) IDS where nodes collaborate over a peer-to-peer overlay network. The AIS uses the negative selection algorithm for the selection of detectors (e.g., vectors of features such as CPU utilization, memory usage and network activity). For better detection performance, selection of all possible detectors for a node is desirable but it may not be feasible due to storage and computational overheads. Limiting the number of detectors on the other hand comes with the danger of missing attacks. We present a scheme for the controlled and decentralized division of detector sets where each IDS is assigned to a region of the feature space. We investigate the trade-off between scalability and robustness of detector sets. We address the problem of self-organization in CIDS so that each node generates a distinct set of the detectors to maximize the coverage of the feature space while pairs of nodes exchange their detector sets to provide a controlled level of redundancy. Our contribution is twofold. First, we use Symmetric Balanced Incomplete Block Design, Generalized Quadrangles and Ramanujan Expander Graph based deterministic techniques from combinatorial design theory and graph theory to decide how many and which detectors are exchanged between which pair of IDS nodes. Second, we use a classical epidemic model (SIR model) to show how properties from deterministic techniques can help us to reduce the attack spread rate.

Impact and interest:

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ID Code: 58337
Item Type: Journal Article
Refereed: Yes
Additional Information: Proceedings of the 9th International Conference on Stabilization, Safety, and Security of Distributed Systems (SSS'07)
Keywords: collaborative intrusion detection, anomaly detection, design theory
DOI: 10.1007/978-3-540-76627-8_6
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Networking and Communications (080503)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Mar 2013 04:18
Last Modified: 12 Jun 2013 15:38

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