Abstract
To address the increasing complexities of fault management, we propose an automated, proactive monitoring system using adaptive statistical techniques. Requiring only a minimal amount of network specific information a priori, the system continually collects data, uses the data to learn the normal behavior of the network, and detects deviations from the norm. The proposed system is thereby able to detect unknown or unseen faults. Experimental results on real network data demonstrate that the proposed system can detect abnormal behavior before a fault actually occurs.
Chapter PDF
Similar content being viewed by others
References
U. Appel, A.V. Brandt, “Adaptive Sequential Segmentation of Piecewise Stationary Time Series,” Information Sciences, vol. 29, 1983, pp. 27–56.
C. Cortes, L.D. Jackel, W-P Chiang, “Predicting Failures of Telecommunication paths: Limits on Learning Machine Accuracy Imposed by Data Quality,” Proceeding of the International Workshop on Applications of Neural Networks to Telecommunications 2, Stockholm, 1995.
R.H. Deng, A.A. Lazar, W. Wang, “A Probabilistic Approach to Fault Diagnosis in Linear Lightwave Networks,” IEEE JSAC, vol. 11, no. 9, Dec. 1993, pp. 1438–1448.
D. Heckerman, “A tractable algorithm for diagnosing multiple diseases,” Proceedings of the Fifth Workshop on Uncertainty in Artificial Intelligence, Windsor, ON, 1989, pp. 174181.
D. Heckerman, J.S. Breese, K. Rommelse, “Decision-Theoretic Troubleshooting,” Communications of the ACM, vol. 38, March 1995, pp. 49–57.
C. Hood, “Intelligent Detection For Fault Management of Communication Networks,” Ph.D. Dissertation, Rensselaer Polytechnic Institute, 1997.
G. Jakobson, M.D. Weissman, “Alarm Correlation,” IEEE Network, Nov. 1993, pp. 5259.
A.A. Lazar, W. Wang, R. Deng, “Models and Algorithms for Network Fault Detection and Identification: A Review,” ICC, Singapore, Nov. 1992.
W. Leland, M. Taqqu, W. Willinger and D. Wilson, “On The Self Similar Nature of Ethernet Traffic (extended version),” IEEE/ACM Trans. Networking, vol. 2, pp. 1–15, Feb., 1994.
E.L. Madruga, L.M.R. Tarouco, “Fault Management tools for a Cooperative and Decentralized Network Operations Environment,” IEEE JSAC, vol. 12, no. 6, Aug. 1994, pp. 1121–1130.
R. Maxion, F. Feather, “A Case Study of Ethernet anomalies in a Distributed Computing Environment,” IEEE Trans. on Reliability, vol. 39, Oct. 1990, pp. 433–443.
J. Pearl, Probabilistic Reasoning in Intelligent systems: Networks of Plausible Inference. San Mateo, CA: Morgan Kaufman, 1988.
I. Rouvellou, “Graph Identification Techniques Applied to Network Management Problems,” Ph.D dissertation, Columbia University, 1993.
P. Smyth, “Markov Monitoring with Unknown States,” IEEE JSAC, vol. 12, 1994, pp. 1600–1612.
D.J. Spiegelhalter, A.P. Dawid, S.L. Lauritzen, R.G. Cowell, “Bayesian Analysis in Expert Systems,” Statistical Science, vol. 8, no. 3, 1993, pp. 219–288.
Z. Wang, “Model of network faults,” Integrated Network Management I, B. Meandzija and J. Westcott (eds.), New York, NY, Elsevier Science Publishing Company, 1989.
O. Wolfson, S. Sengupta, Y. Yemini, “Managing Communication Networks by Monitoring Databases,” IEEE Transactions on Software Engineering, vol. 17, no. 9, 1991.
Y. Yemini, “A Critical Survey of Network Management Protocol Standards,” Telecommunications Network Management Into the 21s` Century, S. Aidarous and T. Plevyak (eds.), New York, NY, IEEE press, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Hood, C.S., Ji, C. (1997). Automated Proactive Anomaly Detection. In: Lazar, A.A., Saracco, R., Stadler, R. (eds) Integrated Network Management V. IM 1997. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35180-3_51
Download citation
DOI: https://doi.org/10.1007/978-0-387-35180-3_51
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-5519-0
Online ISBN: 978-0-387-35180-3
eBook Packages: Springer Book Archive