A fuzzy based MCDM methodology for risk evaluation of cyber security technologies

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dc.contributor.authorErdoğan, Melike
dc.contributor.authorKaraşan, Ali
dc.contributor.authorKaya, İhsan
dc.contributor.authorBudak, Ayşenur
dc.contributor.authorÇolak, Murat
dc.date.accessioned2020-04-30T13:32:04Z
dc.date.available2020-04-30T13:32:04Z
dc.date.issued2020
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- 228529en_US
dc.description.abstractCyber security that also known as information technology security is to protect computers, mobile devices, servers, electronic systems and networks from malicious digital attacks. In recent years, cyber security threats have been a growing problem for any critical digital infrastructure and various cyber-attacks created over the Internet are also becoming a big issue for the society. Therefore, the use of technologies developed to provide cyber security is very important. However, the risks of cyber security technologies should be taken into account when choosing among cyber security technologies. For this aim, we have proposed a multi-criteria decision making (MCDM) methodology based on hesitant fuzzy sets (HFSs) that gives experts extra flexibility in using linguistic terms to evaluate the criteria and alternatives to determine the best cyber security technology. For this aim, a study has also been discussed which deals with risk factors in the selection of cyber security technologies via fuzzy MCDM process. © 2020, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-23756-1_123en_US
dc.identifier.endpage1049en_US
dc.identifier.isbn9783030237554
dc.identifier.issn2194-5357
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1042en_US
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-030-23756-1_123
dc.identifier.urihttps://hdl.handle.net/20.500.12684/28
dc.identifier.volume1029en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCyber security technology; Hesitant fuzzy sets; Multi criteria decision making; Risk evaluationen_US
dc.titleA fuzzy based MCDM methodology for risk evaluation of cyber security technologiesen_US
dc.typeConference Objecten_US

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