Towards a better labeling process for network security datasets. (arXiv:2305.01337v1 [cs.CR])

Most network security datasets do not have comprehensive label assignment
criteria, hindering the evaluation of the datasets, the training of models, the
results obtained, the comparison with other methods, and the evaluation in
real-life scenarios. There is no labeling ontology nor tools to help assign the
labels, resulting in most analyzed datasets assigning labels in files or
directory names. This paper addresses the problem of having a better labeling
process by (i) reviewing the needs of stakeholders of the datasets, …

datasets evaluation labeling life network network security ontology process results security tools training