An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment
Detection of Denial of Service (DoS) attack is one of the most critical issues in cloud computing. The attack detection framework is very complex due to the nonlinear thought of interruption activities, unusual conduct of systems traffic, and many attributes in the issue space. This paper proposes a...
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Published in | Applied soft computing Vol. 100; p. 106997 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2021
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Subjects | |
Online Access | Get full text |
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