Anomaly Detection in IDSs by means of unsupervised greedy learning of finite mixture models
Crossref DOI link: https://doi.org/10.1007/s00500-017-2581-z
Published Online: 2017-04-11
Published Print: 2018-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Greggio, Nicola http://orcid.org/0000-0003-4514-4932
License valid from 2017-04-11