In real world systems, operators are often inundated with alarms which alert when various anomalous events are detected. A software tool was developed that makes use of machine learning methods to allow the operators the ability to prioritize events of high interest. This tool relies heavily on the quality and validity of the data used for training.
Dr Misty Blowers works for the US Airforce Research Laboratory in Rome, NY working in the cyber operations branch. She is also a Professor of Data Mining at Syracuse University.