A Dempster–Shafer, Fusion-Based Approach for Malware Detection
| dc.contributor.author | Galdames, Patricio | |
| dc.contributor.author | Enoch, Simon Y. | |
| dc.contributor.author | Gutiérrez-Soto, Claudio | |
| dc.contributor.author | Palomino, Marco A. | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2025-08-25T09:35:07Z | |
| dc.date.available | 2025-08-25T09:35:07Z | |
| dc.date.issued | 2025-08-20 | |
| dc.description | Marco 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. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 22 | |
| dc.format.extent | 318749 | |
| dc.identifier | 308238046 | |
| dc.identifier | 61ee4907-0cde-42bb-ba86-a2c0b14abe01 | |
| dc.identifier | 105014353008 | |
| dc.identifier.citation | Galdames, 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/math13162677 | en |
| dc.identifier.doi | 10.3390/math13162677 | |
| dc.identifier.iss | 16 | en |
| dc.identifier.issn | 2227-7390 | |
| dc.identifier.other | RIS: urn:F185095D2BE5830CADF7EB0E211C66D3 | |
| dc.identifier.other | ORCID: /0000-0001-7850-416X/work/190476686 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25899 | |
| dc.identifier.vol | 13 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Mathematics | en |
| dc.subject | malware detection | en |
| dc.subject | Dempster–Shafer theory | en |
| dc.subject | ensemble learning | en |
| dc.subject | classifier fusion | en |
| dc.subject | machine learning | en |
| dc.subject | uncertainty quantification | en |
| dc.subject | QA Mathematics | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject.lcc | QA | en |
| dc.title | A Dempster–Shafer, Fusion-Based Approach for Malware Detection | en |
| dc.type | Journal article | en |
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