Abstract

The Laboratory for Analytic Sciences (LAS) at North Carolina State University, funded by the National Security Agency, is a collaborative, long-term research enterprise focused on improving intelligence analysis using Big Data. In its work, LAS has recently begun dealing with the trade-off between the collection, storage, and use of large unclassified data-sets and analyst privacy. We discuss particular privacy challenges at LAS, analyze privacy principles in the life cycle of LAS unclassified data-sets, what intelligence analysts themselves think about these privacy concerns, and recommend possible best practices potentially applicable to LAS, as well as future Big Data laboratories and research centers that collaborate with intelligence communities.