Should security researchers experiment more and draw more inferences?

  • Authors:
  • Kevin S. Killourhy;Roy A. Maxion

  • Affiliations:
  • Dependable Systems Laboratory, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA;Dependable Systems Laboratory, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • CSET'11 Proceedings of the 4th conference on Cyber security experimentation and test
  • Year:
  • 2011

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Abstract

Two methodological practices are well established in other scientific disciplines yet remain rare in computer-security research: comparative experiments and statistical inferences. Comparative experiments offer the only way to control factors that might vary from one study to the next. Statistical inferences enable a researcher to draw general conclusions from empirical results. Despite their widespread use in other sciences, these practices are haphazardly used in security research. Choosing keystroke dynamics as an example to study, we survey the literature. Of 80 papers wherein these practices would be appropriate, only 43 (53.75%) performed comparative experiments, and only 6 (7.5%) drew statistical inferences. In disciplines such as medicine, comparative experiments and statistical inferences save lives and cut costs. Rigorous methodological standards are required. We see no reason why security research, another discipline where the stakes are critically high, cannot or should not adopt these practices as well. Failure to take a more scientific approach to security research stalls progress and leaves us vulnerable.