Distributed Denial-Of-Service (DDoS) in Software-Defined Network Based on Artificial Neural Network and Binary Multi-Neighborhood Artificial Bee Colony (BMNABC) Algorithm

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dc.contributor.authorAteeyah, E.
dc.contributor.authorSeker, C.
dc.date.accessioned2024-09-29T16:20:45Z
dc.date.available2024-09-29T16:20:45Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description3rd IEEE Mysore Sub Section International Conference, MysuruCon 2023 -- 1 December 2023 through 2 December 2023 -- Hassan -- 196843en_US
dc.description.abstractIn this paper, an intelligent intrusion detection system in a software-based network with metaheuristic algorithm is presented. In the proposed system, the controllers use the binary multi-neighborhood artificial bee colony Algorithm, to select the features. In the proposed method, the artificial neural network is used to classify the attach and non-attach data. For comparison of the results the machine learning algorithm such as support vector machine, decision tree, Ensemble, Navie Base, and K-NN methods has been used and evaluated. the best results have been obtained for artificial neural network and it was 98.99%, 98.97%, 98.94%, 98.95%, and 97.95% for accuracy of train, accuracy of test, precision test, and recall test, and F1 test, respectively. Also, the worst results have been obtained for the DT method and it was 97.54%, 97.56%, 97.42%, 97.76%, and 97.09% for accuracy of train, accuracy of test, precision test, and recall test, and F1 test respectively. © 2023 IEEE.en_US
dc.identifier.doi10.1109/MysuruCon59703.2023.10397037
dc.identifier.isbn979-835034035-8
dc.identifier.scopus2-s2.0-85184823441en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/MysuruCon59703.2023.10397037
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9303
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 IEEE 3rd Mysore Sub Section International Conference, MysuruCon 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectBinary multi-neighborhood artificial bee colony Algorithmen_US
dc.subjectDistributed denial-of-serviceen_US
dc.subjectSoftware-Defined Networken_US
dc.titleDistributed Denial-Of-Service (DDoS) in Software-Defined Network Based on Artificial Neural Network and Binary Multi-Neighborhood Artificial Bee Colony (BMNABC) Algorithmen_US
dc.typeConference Objecten_US

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