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Behavioural detectors for intrusion detection require training in order to correctly characterize the operation of a service – protocol combination. Implicit in this is the assumption that the learning algorithm will scale to large datasets and provide simple solutions. This work will address both requirements under a Genetic Programming context through the use of a combined multi-objective, host-parasite model. It has already been demonstrated that both schemes are appropriate independently. This project will integrate the two schemes to provide a single, holistic solution and benchmark under representative datasets.
Dr. Malcolm Heywood
Telecom Applications Research Alliance (TARA)
Information and communications technologies
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