RT info:eu-repo/semantics/article
T1 Mutating network scans for the assessment of supervised classifier ensembles
A1 Sedano, Javier
A1 González González, Silvia .
A1 Herrero Cosío, Álvaro
A1 Baruque Zanón, Bruno
A1 Corchado, Emilio
K1 Network intrusion detection
K1 IDS performance
K1 classifier ensembles
K1 machine learning
K1 zero-day attacks
K1 mutation
K1 Informática
K1 Computer science
AB As it is well known, some Intrusion Detection Systems (IDSs) suffer from high rates of false positives and negatives. A mutation technique is proposed in this study to test and evaluate the performance of a full range of classifier ensembles for Network Intrusion Detection when trying to recognize new attacks. The novel technique applies mutant operators that randomly modify the features of the captured network packets to generate situations that could not otherwise be provided to IDSs while learning. A comprehensive comparison of supervised classifiers and their ensembles is performed to assess their generalization capability. It is based on the idea of confronting brand new network attacks obtained by means of the mutation technique. Finally, an example application of the proposed testing model is specially applied to the identification of network scans and related mutations
PB Oxford University Press
SN 1367-0751
YR 2012
FD 2012-09
LK http://hdl.handle.net/10259/3860
UL http://hdl.handle.net/10259/3860
LA eng
NO Spanish Ministry of Science and Innovation (TIN2010-21272-C02-01 and CIT-020000-2009-12) (both funded by the European Regional Development Fund). The authors would also like to thank the vehicle interior manufacturer, Grupo Antolin Ingenieria S. A., within the framework of the MAGNO2008 - 1028.- CENIT. Project also funded by the MICINN, the Spanish Ministry of Science and Innovation (PID 560300-2009-11) and the Regional Government of Castile-Leon (CCTT/10/BU/0002). This work was also supported in the framework of the IT4Innovations Centre of Excellence project, reg. no. (CZ.1.05/1.1.00/02.0070) supported by the Operational Program 'Research and Development for Innovations' funded through the Structural Funds of the European Union and the state budget of the Czech Republic.
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024