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Probabilistic network fault detection

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2 Author(s)
Hood, C.S. ; Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA ; Chuanyi Ji

To improve network management in today's high-speed communication networks, we propose an intelligent system using adaptive learning machines. The system learns the normal behavior of the network. Deviations from the norm are detected and the information is combined in the probabilistic framework of a Bayesian network. The proposed system is thereby able to detect unknown or unseen faults. As demonstrated on real network data, this method can detect abnormal behavior before a fault actually occurs, giving the network management system (human or automated) the ability to avoid a potentially serious problem

Published in:

Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity  (Volume:3 )

Date of Conference:

18-22 Nov 1996

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