dc.contributor.author | Čiurlienė, Karina | |
dc.contributor.author | Stankevičius, Denisas | |
dc.date.accessioned | 2023-09-18T20:51:56Z | |
dc.date.available | 2023-09-18T20:51:56Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/153244 | |
dc.format | PDF | |
dc.format.extent | p. 16 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | Vilnius university proceedings 2669-0233 | |
dc.relation.isreferencedby | Dimensions | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.mii.lt/damss/files/damss_2022.pdf | |
dc.source.uri | https://www.zurnalai.vu.lt/proceedings/issue/archive | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:147315981/datastreams/MAIN/content | |
dc.title | Improving network intrusion detection applying hybrid machine learning algorithms | |
dc.type | Konferencijos pranešimo santrauka tarptautinėse DB / Conference presentation abstract in an international DB | |
dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 0 | |
dc.type.pubtype | T1 - Konferencijos pranešimo tezės tarptautinėse DB / Conference presentation abstract in an international DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
dc.subject.vgtuprioritizedfields | IK0101 - Informacijos ir informacinių technologijų sauga / Information and Information Technologies Security | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dcterms.sourcetitle | DAMSS 2022: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022 | |
dc.publisher.name | Vilniaus universitetas | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 10.15388/DAMSS.13.2022 | |
dc.identifier.elaba | 147315981 | |