Multisensor real-time risk assessment using continuous-time hidden Markov models

2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

Volumn 2, Issue , 2006, Pages 1536-1540

  Haslum, Kjetil ^a   Årnes, André ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; INTRUSION DETECTION; NETWORK SECURITY; SENSOR DATA FUSION;

FLEXIBLE MODELING; RISK LEVEL; RISKS OF ASSETS;

RISK ASSESSMENT;

EID: 38949132578     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIAS.2006.295318     Document Type: Conference Paper

References (7)

1. A. Årnes, K. Sallhammar, K. Haslum, T. Brekne, M. E. G. Moe, and S. J. Knapskog. Real-time risk assessment with network sensors and intrusion detection systems. In International Conference on Computational Intelligence and Security (CIS). Dec 2005.
2. A. Årnes, F. Valeur, G. Vigna, and R. A. Kemmerer. Using hidden markov models to evaluate the risk of intrusions. In Proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006, Hamburg, Germany, September 20-22, 2006., September 2006.
3. A. Gehani and G. Kedem. Rheostat: Real-time risk management. In Proceedings of the 7th International Symposium on Recent Advances in Intrusion Detection, RAID 2004, Sophia Antipolis, France, September 15-17, 2004.. pages 296-314. Springer, 2004.
4. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Readings in speech recognition, pages 267-296. 1990.
5. S. M. Ross. Introduction to Probability Models. Academic Press, New York, 8th edition, 2003.
6. Standards Australia and Standards New Zealand. AS/NZS 4360: 2004 risk management, 2004.
7. G. Stonebumer, A. Goguen, and A. Feringa. Risk management guide for information technology systems, National Institute of Standards and Technology, special publication 800-30, 2002.