Title :
Nature-inspired ensembles to detect SNMP anomalous situations
Author :
Sedano, Javier ; Herrero, Álvaro ; González, Silvia ; Corchado, Emilio ; Baruque, Bruno
Author_Institution :
Inst. Tecnol. de Castilla y Leon, Burgos, Spain
Abstract :
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.
Keywords :
protocols; security of data; MIB Information Transfer; SNMP anomalous situations; classifier ensembles; nature-inspired ensembles; port scan; Classification algorithms; Communities; Intrusion detection; Machine learning; Protocols; Training; Classifier; Ensemble; Intrusion Detection; Simple Network Management Protocol;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1122-0
DOI :
10.1109/NaBIC.2011.6089660
