A realistic model of network survivability
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This thesis focuses on evaluating network survivability and Quality of Service (QoS) in a network. There have been studies on developing network survivability metrics, however, the implementation of these survivability measures usually are based on unrealistic assumptions. This thesis has some experiment results based on identifying all min-cuts of a network and computing survivability of the nodes based on these criteria. The main contribution of the thesis is a novel approach to handling correlated or dependent component failures. In a complex network, it is not trivial to compute the probability of failures of the nodes even if the component failures are independent. With this new approach, network administrators could predict the optimal nodes in a network under more realistic conditions. Java-based simulation programs are developed to evaluate the approach. This project is motivated by network security problems in which a decision maker has to select nodes to host critical information servers when there is an attack to the network. The solution will give the decision makers criteria that would help them to make better decisions.
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