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Conference Paper: ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection

TitleReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
Authors
Yang, ShuoZheng, XinranLi, JinzeXu, JinfengWang, XingjunNgai, Cheuk Han Edith
Issue Date24-Aug-2024
PublisherACM
Persistent Identifierhttp://hdl.handle.net/10722/362496

 

DC FieldValueLanguage
dc.contributor.authorYang, Shuo-
dc.contributor.authorZheng, Xinran-
dc.contributor.authorLi, Jinze-
dc.contributor.authorXu, Jinfeng-
dc.contributor.authorWang, Xingjun-
dc.contributor.authorNgai, Cheuk Han Edith-
dc.date.accessioned2025-09-25T00:30:11Z-
dc.date.available2025-09-25T00:30:11Z-
dc.date.issued2024-08-24-
dc.identifier.urihttp://hdl.handle.net/10722/362496-
dc.languageeng-
dc.publisherACM-
dc.relation.ispartofACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)-
dc.titleReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection-
dc.typeConference_Paper-
dc.identifier.doi10.1145/3637528.3672007-

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