  We present cyber-security problems of high importance. We show that in order
to solve these cyber-security problems, one must cope with certain machine
learning challenges. We provide novel data sets representing the problems in
order to enable the academic community to investigate the problems and suggest
methods to cope with the challenges. We also present a method to generate
labels via pivoting, providing a solution to common problems of lack of labels
in cyber-security.
