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Applying FML and Fuzzy Ontologies to malware behavioural analysis.

, , , , and . FUZZ-IEEE, page 2018-2025. IEEE, (2011)

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Ontology-based intelligent system for malware behavioral analysis., , , and . FUZZ-IEEE, page 1-6. IEEE, (2010)TWMAN+: A Type-2 fuzzy ontology model for malware behavior analysis., , , and . SMC, page 2821-2826. IEEE, (2012)IT2FS-based ontology with soft-computing mechanism for malware behavior analysis., , , and . Soft Comput., 18 (2): 267-284 (2014)Fuzzy Markup Language for Malware Behavioral Analysis., , , , , , , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections., , and . CoRR, (2017)Malware behavioral analysis system: TWMAN., , , , and . IEEE IA, page 1-8. IEEE, (2011)Applying FML and Fuzzy Ontologies to malware behavioural analysis., , , , and . FUZZ-IEEE, page 2018-2025. IEEE, (2011)An IT2FLS-Based Malware Analysis Mechanism: Malware Analysis Network in Taiwan (MiT)., , , and . SMC, page 4652-4657. IEEE, (2013)C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation., and . CoRR, (2018)SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment., , , , , and . CoRR, (2018)