Nature-inspired ensembles to detect SNMP anomalous situations

摘要

This experimental study is focused on the application of some nature inspired classifier ensembles for the detection of SNMP-related attacks. The reliability of the novel method proposed is compared with other models and validated under a real interesting case study, taking into account several different anomalous situations as port scan and MIB Information Transfer.