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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jcloudc/DuanLBCZCGZ23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chenxu_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chun_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Fanqin_Zhou>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guo_Chen>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guotao_Bai>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jiaxing_Chen>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yunfeng_Duan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zehua_Gao>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1186%2Fs13677-023-00492-w>
foaf:homepage <https://doi.org/10.1186/s13677-023-00492-w>
dc:identifier DBLP journals/jcloudc/DuanLBCZCGZ23 (xsd:string)
dc:identifier DOI doi.org%2F10.1186%2Fs13677-023-00492-w (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jcloudc>
rdfs:label MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chenxu_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chun_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Fanqin_Zhou>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guo_Chen>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guotao_Bai>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jiaxing_Chen>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yunfeng_Duan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zehua_Gao>
swrc:month December (xsd:string)
swrc:number 1 (xsd:string)
swrc:pages 126 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jcloudc/DuanLBCZCGZ23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jcloudc/DuanLBCZCGZ23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jcloudc/jcloudc12.html#DuanLBCZCGZ23>
rdfs:seeAlso <https://doi.org/10.1186/s13677-023-00492-w>
dc:title MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 12 (xsd:string)