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Threat Assessment and Validation
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Michigan Aerospace Corporation has recently been awarded a contract to develop a toolset and architecture for assessment and mitigation
of threats to spacecraft. A simulation environment to allow generation of realistic data sets and metrics for testing and comparison
of different threat detection and assessment algorithms will also be produced. Our approach differs from previous attempts because it
is based on algorithms that are tractable and that utilize actual features in the data sets that can be
characterized quantitatively. Although the focus will be to produce the threat assessment,
simulation environment, and validation performance metrics, the algorithms will be designed to operate within the larger framework of
the Joint Directors of Laboratories (JDL) model for data fusion. One of the outputs of the simulation environment will be a library of
anomalous data that can be used to evaluate different detection techniques and quantitatively assess their ability to detect and
distinguish between technical, environmental, and actual threats to the spacecraft. The simulation environment will also allow "what
if" scenarios through deterministic and non-deterministic adjustments of the input variables. The resulting algorithms will be
applicable to a wide variety of data mining problems (e.g., in Signals Intelligence) that require fast execution on very large data
sets.
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