EXPLORING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TO PREDICT CYBER ATTACKS: CREATION, EVALUATION AND COMPARATIVE ANALYSIS OF EFFECTIVE MODELS OF ENSEMBLE METHODS, ISOLATION FOREST, AND ARIMA.
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| Title: | EXPLORING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TO PREDICT CYBER ATTACKS: CREATION, EVALUATION AND COMPARATIVE ANALYSIS OF EFFECTIVE MODELS OF ENSEMBLE METHODS, ISOLATION FOREST, AND ARIMA. |
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| Authors: | STEFANOV, Miroslav1 Miroslav.Stefanov@erau.edu, BURTON, Sharon L.1 SharonL.Burton@erau.edu, AKBAS, Ilhan M.1 Akbasm@erau.edu, CROUSE, Sean1 Crouses2@Erau.edu |
| Source: | Land Forces Academy Review. Mar2025, Vol. 30 Issue 1, p162-174. 13p. |
| Database: | Academic Search Ultimate |
| ISSN: | 31005063 |
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| DOI: | 10.2478/raft-2025-0016 |
