{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T04:36:10Z","timestamp":1754195770707,"version":"3.37.3"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["108-2221-E-029-010"],"award-info":[{"award-number":["108-2221-E-029-010"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002560","name":"Soonchunhyang University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002560","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2019.2963716","type":"journal-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T20:55:37Z","timestamp":1578084937000},"page":"7842-7850","source":"Crossref","is-referenced-by-count":22,"title":["NetFlow Monitoring and Cyberattack Detection Using Deep Learning With Ceph"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9579-4426","authenticated-orcid":false,"given":"Chao-Tung","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9361-4719","authenticated-orcid":false,"given":"Jung-Chun","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2925-2992","authenticated-orcid":false,"given":"Endah","family":"Kristiani","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5664-4508","authenticated-orcid":false,"given":"Ming-Lun","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0604-3445","authenticated-orcid":false,"given":"Ilsun","family":"You","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5798-398X","authenticated-orcid":false,"given":"Giovanni","family":"Pau","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Mean Square Error","year":"2019","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2004.07.002"},{"journal-title":"Onehot","year":"2019","key":"ref30"},{"journal-title":"Long short term memory","year":"2019","key":"ref10"},{"journal-title":"Gated recurrent unit","year":"2019","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00035"},{"journal-title":"Bootstrapping","year":"2019","key":"ref13"},{"journal-title":"ECharts","year":"2019","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.036"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.04.004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2018.12.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WINCOM.2016.7777224"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PlatCon.2016.7456805"},{"journal-title":"Vmware esxi","year":"2019","key":"ref28"},{"key":"ref4","first-page":"71","article-title":"Modeling advanced persistent threats to enhance anomaly detection techniques","volume":"9","author":"atapour","year":"2018","journal-title":"J Wireless Mobile Netw Ubiquitous Comput Dependable Appl"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2017.8093473"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946962"},{"journal-title":"Ceph","year":"2019","key":"ref6"},{"journal-title":"Labelencoder","year":"2019","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-019-02853-2"},{"journal-title":"Keras","year":"2019","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2006.19"},{"key":"ref2","first-page":"57","article-title":"A visual analytics approach for the cyber forensics based on different views of the network traffic","volume":"9","author":"kotenko","year":"2018","journal-title":"J Wireless Mobile Netw Ubiquitous Comput Dependable Appl"},{"journal-title":"Recurrent Neural Network","year":"2019","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.08.050"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804912"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.07.023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2014.05.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.11.004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2018.03.006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2321898"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2011.05.008"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08949457.pdf?arnumber=8949457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:50:37Z","timestamp":1639770637000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8949457\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2963716","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}