TY - JOUR AU - Sedano, Javier AU - González González, Silvia . AU - Herrero Cosío, Álvaro AU - Baruque Zanón, Bruno AU - Corchado, Emilio PY - 2012 SN - 1367-0751 UR - http://hdl.handle.net/10259/3860 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... LA - eng PB - Oxford University Press KW - Network intrusion detection KW - IDS performance KW - classifier ensembles KW - machine learning KW - zero-day attacks KW - mutation KW - Informática KW - Computer science TI - Mutating network scans for the assessment of supervised classifier ensembles DO - 10.1093/jigpal/jzs037 ER -