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Mutating network scans for the assessment of supervised classifier ensembles.

, , , , and . Logic Journal of the IGPL, 21 (4): 630-647 (2013)

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Editorial: Special issue CISIS12-IGPL., , , , , and . Logic Journal of the IGPL, 23 (1): 1-3 (2015)Intrusion Detection at Packet Level by Unsupervised Architectures., , , , , and . IDEAL, volume 4881 of Lecture Notes in Computer Science, page 718-727. Springer, (2007)Testing Ensembles for Intrusion Detection: On the Identification of Mutated Network Scans., , , , and . CISIS, volume 6694 of Lecture Notes in Computer Science, page 109-117. Springer, (2011)Neural Analysis of HTTP Traffic for Web Attack Detection., , and . CISIS-ICEUTE, volume 369 of Advances in Intelligent Systems and Computing, page 201-212. Springer, (2015)Neuro-Evolutionary Feature Selection to Detect Android Malware., , , and . CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 124-131. Springer, (2019)Visualization of Misuse-Based Intrusion Detection: Application to Honeynet Data., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 561-570. Springer, (2011)Neural networks for the visual analysis of regional pollution., , , and . EUROCON, page 1-6. IEEE, (2015)idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining., , , , , and . Inf. Sci., (2013)MOVIH-IDS: A mobile-visualization hybrid intrusion detection system., , , and . Neurocomputing, 72 (13-15): 2775-2784 (2009)One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe., and . SOCO, volume 950 of Advances in Intelligent Systems and Computing, page 443-451. Springer, (2019)