A Dempster–Shafer, Fusion-Based Approach for Malware Detection

Galdames, PatricioEnoch, Simon Y.Gutiérrez-Soto, ClaudioPalomino, Marco A.2025-08-252025-08-252025-08-20Galdames, P, Enoch, S Y, Gutiérrez-Soto, C & Palomino, M A 2025, 'A Dempster–Shafer, Fusion-Based Approach for Malware Detection', Mathematics, vol. 13, no. 16, 2677. https://doi.org/10.3390/math131626772227-7390RIS: urn:F185095D2BE5830CADF7EB0E211C66D3ORCID: /0000-0001-7850-416X/work/190476686https://hdl.handle.net/2164/25899Marco A. Palomino thanks The University of Aberdeen for supporting his participation in this work. The authors thank the organizations that provided the public datasets used in this research. We also acknowledge the computational resources provided by Universidad San Sebastián and Universidad del Bío-Bío. We are grateful to José Pino and Nelson Baloian from DCC, Universidad de Chile for introducing us to Dempster-Shafer theory, which became foundational to this research.22318749engmalware detectionDempster–Shafer theoryensemble learningclassifier fusionmachine learninguncertainty quantificationQA MathematicsSupplementary DataDASQAA Dempster–Shafer, Fusion-Based Approach for Malware DetectionJournal article10.3390/math131626771316