Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sunhee Baek"'
Publikováno v:
Digital Communications and Networks, Vol 7, Iss 1, Pp 37-44 (2021)
A substantial body of work has been done to identify network anomalies using supervised and unsupervised learning techniques with their unique strengths and weaknesses. In this work, we propose a new approach that takes advantage of both worlds of un
Externí odkaz:
https://doaj.org/article/c9a0d392f6364502b42a4d8b98d4c5d9
Autor:
Yeongmo Jeong, Sunhee Baek
Publikováno v:
The Korean Society of Culture and Convergence. 43:1215-1232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989734210b2550c297604f3b79723bae
https://doi.org/10.33645/cnc.2021.12.43.12.1215
https://doi.org/10.33645/cnc.2021.12.43.12.1215
Publikováno v:
ICCE
The Internet of things (IoT) is an emerging topic in a variety of industry fields such as manufacturing, engineering, automobile, etc. Especially, many automobile companies are competitively introducing a smart-connected car in conjunction with the I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7321f0e3ecb29f7c78dd8f22164a21ee
https://doi.org/10.1109/icce.2018.8326077
https://doi.org/10.1109/icce.2018.8326077
Publikováno v:
CSCloud
Identifying anomalous events in the network is one of the vital functions in enterprises, ISPs, and datacenters to protect the internal resources. With its importance, there has been a substantial body of work for network anomaly detection using supe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b77b497cbd81a431acb7cb8bc6b2484
https://doi.org/10.1109/cscloud.2017.26
https://doi.org/10.1109/cscloud.2017.26