The Role of Fuzzy Awareness Modelling in Cooperative Management
Information Systems Frontiers
Utilization of structure and concepts in handling network and information management complexity
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Utilization of soft computing to improve cooperative management efficiency
WSEAS Transactions on Circuits and Systems
Incorporating data mining tools into a new Hybrid-IDS to detect known and unknown attacks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
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The more complex a network becomes, the more reliableand intelligent a network management system must be toconsistently monitor the network and detect abnormalsituations in a timely manner as they occur. Expertsystem techniques have been widely accepted to createnetwork management systems. Despite the fact that thereare a number of network management systems, most ofthem deal only with problems at the lower layers of thenetwork hierarchy (the data link, or the network layer).The nature of problems at the application level signifi-cantly differs from of those that occur at the lower levels.Lower layer problems are well-understood while problemsat the application level are complex, applicationdependent, and distinct from one another. Consequently,a network management system, in particular a faultmanagement system, used at this level should be able tocope with these difficulties and dependencies. We proposea hybrid system which consists of neural networkmodule and a rule-based system for monitoring anddiagnosing problems occur at the application level. Thedomain name system (DNS) was selected as a testbedapplication for the prototype system.