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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.
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
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22STEFANOV%2C+Miroslav%22">STEFANOV, Miroslav</searchLink><relatesTo>1</relatesTo><i> Miroslav.Stefanov@erau.edu</i><br /><searchLink fieldCode="AR" term="%22BURTON%2C+Sharon+L%2E%22">BURTON, Sharon L.</searchLink><relatesTo>1</relatesTo><i> SharonL.Burton@erau.edu</i><br /><searchLink fieldCode="AR" term="%22AKBAS%2C+Ilhan+M%2E%22">AKBAS, Ilhan M.</searchLink><relatesTo>1</relatesTo><i> Akbasm@erau.edu</i><br /><searchLink fieldCode="AR" term="%22CROUSE%2C+Sean%22">CROUSE, Sean</searchLink><relatesTo>1</relatesTo><i> Crouses2@Erau.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Land+Forces+Academy+Review%22">Land Forces Academy Review</searchLink>. Mar2025, Vol. 30 Issue 1, p162-174. 13p.
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        Value: 10.2478/raft-2025-0016
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              Text: Mar2025
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