Diana Spears

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A novel approach is presented that bridges the gap between anomaly and misuse detection for identifying cyber attacks. The approach consists of an ensemble of classifiers that, together, produce a more informative output regarding the class of attack than any of the classifiers alone. Each classifier classifies based on a limited subset of possible features(More)
We examine the plausibility of using an Artificial Neural Network (ANN) and an Importance-Aided Neural Network (IANN) for the refinement of the structural model used to create full-wave tomography images. Specifically, we apply the machine learning techniques to classifying segments of observed data wave seismograms and synthetic data wave seismograms as(More)
Remote measurements of a key stratospheric radical species, chlorine monoxide, have been made with a recently developed balloon-borne instrument: a laser heterodyne radiometer. The characteristics of this instrument, which facilitate its use for measurement of selected trace species in the stratosphere, are described here. The technique of solar occultation(More)
A crucial part of safety-critical systems development is identifying how system behaviours lead to accidents. Doing this for complex systems is hard because of the need to consider the interaction between multiple simultaneous failures and normal system behaviours. Multi-agent simulation provides a way to explore the behaviour that emerges from a model of a(More)
A blackbody heterodyne radiometer using a widely tunable PbSnSe-diode laser as the local oscillator (LO) achieved signal-to-noise performance that was an order of magnitude better than previously reported and only a factor of 2.5 below that obtained with a CO(2)-laser LO. The diode laser system performance was within a factor of 6 of an ideal radiometer.(More)
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