{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:14:17Z","timestamp":1771701257859,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,21]]},"DOI":"10.1109\/ictc49870.2020.9289547","type":"proceedings-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T22:58:16Z","timestamp":1608591496000},"page":"1051-1056","source":"Crossref","is-referenced-by-count":6,"title":["A Machine Learning based SLA-Aware VNF Anomaly Detection Method in Virtual Networks"],"prefix":"10.1109","author":[{"given":"Jibum","family":"Hong","sequence":"first","affiliation":[]},{"given":"Suhyun","family":"Park","sequence":"additional","affiliation":[]},{"given":"Jae-Hyoung","family":"Yoo","sequence":"additional","affiliation":[]},{"given":"James Won-Ki","family":"Hong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2012.65"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01421-6_46"},{"key":"ref12","article-title":"collectd - the system statistics collection daemon","year":"0"},{"key":"ref13","article-title":"Time series database and influxdb","author":"naqvi","year":"2017"},{"key":"ref14","article-title":"Grafana","year":"0"},{"key":"ref15","article-title":"Stress-ng - a tool to load and stress a computer system","year":"0"},{"key":"ref16","article-title":"tc - show\/manipulate traffic control settings","year":"0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2012.02.019"},{"key":"ref18","article-title":"Web Services Agreement Specification (WS-Agreement)","year":"0"},{"key":"ref19","article-title":"H2O: Scalable Machine Learning","year":"0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/JOCN.10.00D126"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13174-018-0087-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS.2013.20"},{"key":"ref5","article-title":"Network Functions Virtualisation (NFV) Release 2; Management and Orchestration; Performance Measurements Specification","year":"2018"},{"key":"ref8","first-page":"96","article-title":"Online detection of utility cloud anomalies using metric distributions","author":"wang","year":"2010","journal-title":"2010 IEEE Network Operations and Management Symposium (NOMS)"},{"key":"ref7","article-title":"Automatic Anomaly Detection in the Cloud via Statistical Learning","author":"hochenbaum","year":"2017"},{"key":"ref2","article-title":"Network Functions Virtualisation – Update White Paper","year":"0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5120\/8738-2991"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2016.32"},{"key":"ref20","article-title":"iptables","year":"0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2014.6906427"},{"key":"ref21","article-title":"Suricata - Open source IDS\/IPS\/NSM engine","year":"0"},{"key":"ref24","article-title":"HAProxy - The Reliable, High Performance TCP\/HTTP Load Balancer","year":"0"},{"key":"ref23","article-title":"ntopng - High-Speed Web-based Traffic Analysis and Flow Collection","year":"0"}],"event":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","location":"Jeju, Korea (South)","start":{"date-parts":[[2020,10,21]]},"end":{"date-parts":[[2020,10,23]]}},"container-title":["2020 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9289075\/9289076\/09289547.pdf?arnumber=9289547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:24:31Z","timestamp":1656375871000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9289547\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,21]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ictc49870.2020.9289547","relation":{},"subject":[],"published":{"date-parts":[[2020,10,21]]}}}