{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:46:30Z","timestamp":1782348390776,"version":"3.54.5"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"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 Systems Journal"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/jsyst.2021.3124513","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T23:27:55Z","timestamp":1638314875000},"page":"3711-3722","source":"Crossref","is-referenced-by-count":46,"title":["FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3936-9521","authenticated-orcid":false,"given":"Viraaji","family":"Mothukuri","sequence":"first","affiliation":[{"name":"College of Computing and Software Engineering, Kennesaw State University, Kennesaw, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0049-4296","authenticated-orcid":false,"given":"Reza M.","family":"Parizi","sequence":"additional","affiliation":[{"name":"College of Computing and Software Engineering, Kennesaw State University, Kennesaw, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5746-2914","authenticated-orcid":false,"given":"Seyedamin","family":"Pouriyeh","sequence":"additional","affiliation":[{"name":"College of Computing and Software Engineering, Kennesaw State University, Kennesaw, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9294-7554","authenticated-orcid":false,"given":"Ali","family":"Dehghantanha","sequence":"additional","affiliation":[{"name":"Cyber Science Laboratory, University of Guelph, Guelph, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Can you really backdoor federated learning","author":"Sun","year":"2019"},{"key":"ref2","first-page":"634","article-title":"Analyzing federated learning through an adversarial lens","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bhagoji"},{"key":"ref3","volume-title":"Hyperledger Fabric","year":"2019"},{"key":"ref4","article-title":"Labeled optical coherence tomography (OCT) and chest X-ray images for classification","author":"Kermany","year":"2018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2018.03367731"},{"key":"ref6","volume-title":"CIFAR-10 Dataset","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/app8122663"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/Blockchain50366.2020.00017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2959220"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/APNOMS.2019.8893114"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/Blockchain.2019.00029"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CyberC.2019.00018"},{"key":"ref13","article-title":"A blockchain-orchestrated federated learning architecture for healthcare consortia","author":"Passerat-Palmbach","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2019.2952332"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/APNOMS.2019.8892848"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3363256"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2921755"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BIGCOM.2019.00030"},{"key":"ref19","first-page":"305","article-title":"In search of an understandable consensus algorithm","volume-title":"Proc. USENIX Annu. Tech. Conf.","author":"Ongaro","year":"2014"},{"key":"ref20","first-page":"2672","article-title":"Generative Adversarial Nets","volume-title":"Advances in Neural Information Processing Systems","volume":"27","author":"Goodfellow","year":"2014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","first-page":"6103","article-title":"Poison frogs! Targeted clean-label poisoning attacks on neural networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Shafahi","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"}],"container-title":["IEEE Systems Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4267003\/9866865\/09631164.pdf?arnumber=9631164","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T19:43:40Z","timestamp":1709322220000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9631164\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":23,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jsyst.2021.3124513","relation":{},"ISSN":["1932-8184","1937-9234","2373-7816"],"issn-type":[{"value":"1932-8184","type":"print"},{"value":"1937-9234","type":"electronic"},{"value":"2373-7816","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}