Learning from Authoritative Security Experiment Results
Invited Speaker: Roy Maxion
Roy Maxion of Carnegie Mellon University spoke on the subject of "Experiment Design". This talk detailed the design of an experiment whose goal is to detect human emotions by computer. Dr. Maxion explained all the design decisions, including the reason why each design element is important for the validity of the experiment, as well as the method for deciding how to address each such decision.
Roy is a research professor in the Computer Science and Machine Learning Departments at Carnegie Mellon University (CMU). He is also director of the CMU Dependable Systems Laboratory where the range of activities includes computer security, behavioral biometrics, insider detection, usability, and keystroke forensics as well as general issues of hardware/software reliability. In the interest of the integrity of experimental methodologies, Dr. Maxion teaches a course on Research Methods for Experimental Computer Science, and authored a 2012 paper entitled "Making Experiments Dependable". He is on the editorial boards of IEEE Security & Privacy and the International Journal of Biometrics, and is past editor of IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Information Forensics and Security. Dr. Maxion is a Fellow of the IEEE.
Note: This talk is not available online at this time by request of the speaker. The example problem is a real work in progress and is not yet ready for wide distribution.