Cybersecurity Research Datasets: Taxonomy and Empirical Analysis

We inspect 965 cybersecurity research papers published between 2012 and 2016 in order to understand better how datasets are used, produced and shared. We construct a taxonomy of the types of data created and shared, informed and validated by the examined papers. We then analyze the gathered data on datasets. Three quarters of existing datasets used as input to research are publicly available, but less than one fifth of datasets created by researchers are publicly shared. Using a series of linear regressions, we demonstrate that those researchers who do make public the datasets they create are rewarded with more citations to the associated papers. Hence, we conclude that an under-appreciated incentive exists for researchers to share their created datasets with the broader research community.