Adaptive Dispatching of Incidences Based on Reputation for SCADA Systems

Authors:
Cristina Alcaraz;Isaac Agudo;Carmen Fernandez-Gago;Rodrigo Roman;Gerardo Fernandez;Javier Lopez
Affiliations:
Computer Science Department, University of Malaga, Malaga, Spain 29071;Computer Science Department, University of Malaga, Malaga, Spain 29071;Computer Science Department, University of Malaga, Malaga, Spain 29071;Computer Science Department, University of Malaga, Malaga, Spain 29071;Computer Science Department, University of Malaga, Malaga, Spain 29071;Computer Science Department, University of Malaga, Malaga, Spain 29071
Venue:
TrustBus '09 Proceedings of the 6th International Conference on Trust, Privacy and Security in Digital Business
Year:
2009

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Abstract

SCADA systems represent a challenging scenario where the management of critical alarms is crucial. Their response to these alarms should be efficient and fast in order to mitigate or contain undesired effects. This work presents a mechanism, the Adaptive Assignment Manager (AAM) that will aid to react to incidences in a more efficient way by dynamically assigning alarms to the most suitable human operator. The mechanism uses various inputs for identifying the operators such as their availability, workload and reputation. In fact, we also define a reputation component that stores the reputation of the human operators and uses feedback from past experiences.