{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:37:34Z","timestamp":1783103854147,"version":"3.54.6"},"reference-count":15,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"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":["IEEE Network"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/mnet.2024.3351882","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T15:43:47Z","timestamp":1704815027000},"page":"204-212","source":"Crossref","is-referenced-by-count":40,"title":["Security for the Metaverse: Blockchain and Machine Learning Techniques for Intrusion Detection"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3072-7905","authenticated-orcid":false,"given":"Vu Tuan","family":"Truong","sequence":"first","affiliation":[{"name":"INRS, University of Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3577-6530","authenticated-orcid":false,"given":"Long Bao","family":"Le","sequence":"additional","affiliation":[{"name":"INRS, University of Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3257029"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3202047"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3237661"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99843-5_10"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3200121"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986444"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2938001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2812239"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2825478"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2849324"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2896380"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref13","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Blanchard"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/571637.571640"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0006639801080116"}],"container-title":["IEEE Network"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/65\/10680059\/10385065.pdf?arnumber=10385065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T14:09:02Z","timestamp":1726495742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":15,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/mnet.2024.3351882","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.22858817.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.22858817","asserted-by":"object"}]},"ISSN":["0890-8044","1558-156X"],"issn-type":[{"value":"0890-8044","type":"print"},{"value":"1558-156X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}