Towards Ontology-Based Intelligent Model for Intrusion Detection and Prevention

Author:

Isaza Gustavo,Castillo Andrés,López Manuel,Castillo Luis

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Undercoffer, J., Finin, T., Joshi, A., Pinkston, J.: A target centric ontology for intrusion detection: using DAML+OIL to classify intrusive behaviors. In: Knowledge Engineering Review - Special Issue on Ontologies for Distributed Systems, pp. 2–22. Cambridge University Press, Cambridge (2005)

2. Mandujano, S., Galvan, A., Nolazco, J.: An ontology-based multiagent approach to outbound intrusion detection. In: The 3rd ACS/IEEE International Conference on Computer Systems and Applications, p. 94 (2005)

3. Lecture Notes in Computer Science;G. Denker,2003

4. Dasgupta, D., Gonzalez, F., Yallapu, K., Gomez, J., et al.: CIDS: An agent-based intrusion detection system. Computer and Security: Science Direct 24(5), 387–398 (2005)

5. Herrero, A., Corchado, E., Pellicer, M., Abraham, A.: Hybrid Multi Agent-Neural Network Intrusion Detection with Mobile Visualization in Innovations in Hybrid Intelligent Systems, pp. 320–328. Springer, Heidelberg (2008)

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