Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Intrusion Detection Based On Sequential Information Preserving Log Embedding Methods And Anomaly Detection Algorithms

Full metadata record
DC Field Value Language
dc.contributor.authorPilsung Kang-
dc.date.accessioned2021-08-27T14:04:12Z-
dc.date.available2021-08-27T14:04:12Z-
dc.date.created2021-05-26-
dc.date.issued2019-10-21-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/9272-
dc.publisherINFORMS-
dc.titleIntrusion Detection Based On Sequential Information Preserving Log Embedding Methods And Anomaly Detection Algorithms-
dc.title.alternativeIntrusion Detection Based On Sequential Information Preserving Log Embedding Methods And Anomaly Detection Algorithms-
dc.typeConference-
dc.contributor.affiliatedAuthorPilsung Kang-
dc.identifier.bibliographicCitationINFORMS 2019 Annual Meeting-
dc.relation.isPartOfINFORMS 2019 Annual Meeting-
dc.relation.isPartOfProceedings of INFORMS 2019 Annual Meeting-
dc.citation.titleINFORMS 2019 Annual Meeting-
dc.citation.conferencePlaceUS-
dc.citation.conferenceDate2019-10-20-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Industrial and Management Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kang, Pil sung photo

Kang, Pil sung
공과대학 (산업경영공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE