Detailed Information

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

Improvement of Network Intrusion Detection Accuracy by using Restricted Boltzmann Machine

Full metadata record
DC Field Value Language
dc.contributor.author김준태-
dc.date.accessioned2024-10-30T18:24:11Z-
dc.date.available2024-10-30T18:24:11Z-
dc.date.issued2016-12-11-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/52984-
dc.titleImprovement of Network Intrusion Detection Accuracy by using Restricted Boltzmann Machine-
dc.typeConference-
dc.citation.startPage11-
dc.citation.endPage13-
dc.citation.conferenceNameInternational Conference on Advanced Computer Control(ICACC 2016)-
dc.citation.conferencePlace홍콩-
dc.citation.conferencePlacePanda Hotel-
dc.citation.conferenceDate2016-12-10 ~ 2016-12-11-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Kim, Jun Tae photo

Kim, Jun Tae
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE