{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T17:32:45Z","timestamp":1792863165294,"version":"4.5.0"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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 Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tii.2022.3156642","type":"journal-article","created":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T20:51:35Z","timestamp":1646686295000},"page":"286-295","source":"Crossref","is-referenced-by-count":153,"title":["Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2343-0850","authenticated-orcid":false,"given":"Ons","family":"Aouedi","sequence":"first","affiliation":[{"name":"LS2N, Nantes University, Nantes, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4350-0254","authenticated-orcid":false,"given":"Kandaraj","family":"Piamrat","sequence":"additional","affiliation":[{"name":"LS2N, Nantes University, Nantes, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3740-9232","authenticated-orcid":false,"given":"Guillaume","family":"Muller","sequence":"additional","affiliation":[{"name":"IOGS, CNRS, UMR 5516, LaHC, University Jean Monnet, Saint-Etienne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5451-9751","authenticated-orcid":false,"given":"Kamal","family":"Singh","sequence":"additional","affiliation":[{"name":"IOGS, CNRS, UMR 5516, LaHC, University Jean Monnet, Saint-Etienne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107337"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3023430"},{"key":"ref12","first-page":"756","article-title":"DÏoT: A federated self-learning anomaly detection system for IoT","author":"nguyen","year":"0","journal-title":"Proc IEEE 39th Int Conf Distrib Comput Syst"},{"key":"ref13","first-page":"88","article-title":"IoT defender: A federated transfer learning intrusion detection framework for 5G IoT","author":"fan","year":"0","journal-title":"Proc IEEE 14th Int Conf Big Data Sci Eng"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3100755"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3118642"},{"key":"ref16","article-title":"A cyber threat intelligence sharing scheme based on federated learning for network intrusion detection","author":"sarhan","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3043458"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991401"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.09.116"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"0","journal-title":"Proc Artif Intell Statist"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2021.3116917"},{"key":"ref6","first-page":"1","article-title":"A distributed ensemble design based intrusion detection system using fog computing to protect the Internet of Things networks","author":"kumar","year":"2020","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/PRDC47002.2019.00056"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS47738.2020.9110343"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2019.02.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3073408"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3077803"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2100102"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45355-1_5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/SOFTCOM.2019.8903672"},{"key":"ref21","article-title":"Federated learning for intrusion detection system: Concepts, challenges and future directions","author":"agrawal","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/SOFTCOM.2019.8903886"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.06.017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3084753"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500632"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9944026\/09729433.pdf?arnumber=9729433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:41:35Z","timestamp":1670874095000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9729433\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":26,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3156642","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}