{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T06:42:48Z","timestamp":1776840168239,"version":"3.51.2"},"reference-count":28,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:00:00Z","timestamp":1715212800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Blockchain: Research and Applications"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.bcra.2024.100206","type":"journal-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T17:13:05Z","timestamp":1715965985000},"page":"100206","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-task learning for PBFT optimisation in permissioned blockchains"],"prefix":"10.1016","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3813-6048","authenticated-orcid":false,"given":"Kenza","family":"Riahi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0114-210X","authenticated-orcid":false,"given":"Mohamed-el-Amine","family":"Brahmia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelhafid","family":"Abouaissa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lhassane","family":"Idoumghar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.bcra.2024.100206_br0010","author":"Nakamoto"},{"issue":"3","key":"10.1016\/j.bcra.2024.100206_br0020","doi-asserted-by":"crossref","first-page":"2147","DOI":"10.1109\/TNSE.2021.3079415","article-title":"A performance-optimized consensus mechanism for consortium blockchains consisting of trust-varying nodes","volume":"8","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"10.1016\/j.bcra.2024.100206_br0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.sysarc.2022.102503","article-title":"A survey and taxonomy of consensus protocols for blockchains","volume":"127","author":"Singh","year":"2022","journal-title":"J. Syst. Archit."},{"key":"10.1016\/j.bcra.2024.100206_br0040","series-title":"Programming Languages and Systems","first-page":"912","article-title":"Paxos consensus, deconstructed and abstracted","author":"Garc\u00eda-P\u00e9rez","year":"2018"},{"issue":"1","key":"10.1016\/j.bcra.2024.100206_br0060","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1093\/nsr\/nwx105","article-title":"An overview of multi-task learning","volume":"5","author":"Zhang","year":"2018","journal-title":"Nat. Sci. Rev."},{"issue":"5","key":"10.1016\/j.bcra.2024.100206_br0070","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.31.5.051606","article-title":"Multi-task learning architecture for brain tumor detection and segmentation in mri images","volume":"31","author":"Nazir","year":"2022","journal-title":"J. Electron. Imaging"},{"key":"10.1016\/j.bcra.2024.100206_br0080","series-title":"Proceedings of the 2020 29th International Conference on Computer Communications and Networks (ICCCN)","first-page":"1","article-title":"Multitask learning for network traffic classification","author":"Rezaei","year":"2020"},{"key":"10.1016\/j.bcra.2024.100206_br0090","series-title":"Proceedings of the 37th International Conference on Machine Learning","first-page":"3854","article-title":"Learning to branch for multi-task learning","author":"Guo","year":"2020"},{"issue":"4","key":"10.1016\/j.bcra.2024.100206_br0100","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1145\/571637.571640","article-title":"Practical Byzantine fault tolerance and proactive recovery","volume":"20","author":"Castro","year":"2002","journal-title":"ACM Trans. Comput. Syst."},{"key":"10.1016\/j.bcra.2024.100206_br0110","author":"Xu"},{"key":"10.1016\/j.bcra.2024.100206_br0120","series-title":"Proceedings of the GLOBECOM 2022 - 2022 IEEE Global Communications Conference","first-page":"1788","article-title":"APBFT: an adaptive pbft consensus for private blockchains","author":"Riahi","year":"2022"},{"key":"10.1016\/j.bcra.2024.100206_br0130","doi-asserted-by":"crossref","first-page":"38947","DOI":"10.1109\/ACCESS.2019.2902811","article-title":"Blockchain trust model for malicious node detection in wireless sensor networks","volume":"7","author":"She","year":"2019","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.bcra.2024.100206_br0140","article-title":"Improved PBFT algorithm based on reputation and voting mechanism","volume":"1486","author":"Chen","year":"2020","journal-title":"J. Phys.: Conf. Ser."},{"key":"10.1016\/j.bcra.2024.100206_br0150","article-title":"Improved PBFT algorithm for high-frequency trading scenarios of alliance blockchain","volume":"12","author":"Tang","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bcra.2024.100206_br0160","series-title":"Blockchain and Trustworthy Systems","first-page":"47","article-title":"Improvement research of PBFT consensus algorithm based on credit","author":"Wang","year":"2019"},{"issue":"2","key":"10.1016\/j.bcra.2024.100206_br0170","doi-asserted-by":"crossref","first-page":"325","DOI":"10.3390\/electronics12020325","article-title":"ST-PBFT: an optimized PBFT consensus algorithm for intellectual property transaction scenarios","volume":"12","author":"Zhong","year":"2023","journal-title":"Electronics"},{"key":"10.1016\/j.bcra.2024.100206_br0180","series-title":"Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","first-page":"104","article-title":"Design of trust blockchain consensus protocol based on node role classification","author":"Zhao","year":"2019"},{"key":"10.1016\/j.bcra.2024.100206_br0190","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/7386049","article-title":"Exploiting machine learning to detect malicious nodes in intelligent sensor-based systems using blockchain","volume":"2022","author":"Sajid","year":"2022","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"10.1016\/j.bcra.2024.100206_br0200","doi-asserted-by":"crossref","first-page":"6106","DOI":"10.1109\/ACCESS.2023.3236983","article-title":"Malicious node detection using machine learning and distributed data storage using blockchain in WSNs","volume":"11","author":"Nouman","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.bcra.2024.100206_br0210","doi-asserted-by":"crossref","first-page":"71208","DOI":"10.1109\/ACCESS.2018.2881431","article-title":"Learning to classify blockchain peers according to their behavior sequences","volume":"6","author":"Tang","year":"2018","journal-title":"IEEE Access"},{"key":"10.1016\/j.bcra.2024.100206_br0220","series-title":"Proceedings of the 2021 IEEE 46th Conference on Local Computer Networks (LCN)","first-page":"319","article-title":"A machine learning approach to peer connectivity estimation for reliable blockchain networking","author":"Kim","year":"2021"},{"key":"10.1016\/j.bcra.2024.100206_br0230","author":"Aluko"},{"key":"10.1016\/j.bcra.2024.100206_br0240","article-title":"An efficient sharding consensus algorithm for consortium chains","volume":"13","author":"Wu","year":"2023","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.bcra.2024.100206_br0250","doi-asserted-by":"crossref","first-page":"4367","DOI":"10.1021\/acsomega.9b00298","article-title":"Multitask machine learning for classifying highly and weakly potent kinase inhibitors","volume":"4","author":"Rodriguez-Perez","year":"2019","journal-title":"ACS Omega"},{"key":"10.1016\/j.bcra.2024.100206_br0260","author":"Crawshaw"},{"key":"10.1016\/j.bcra.2024.100206_br0270","series-title":"Proceedings of the 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)","first-page":"704","article-title":"Representation learning for emotion recognition from smartphone keyboard interactions","author":"Ghosh","year":"2019"},{"key":"10.1016\/j.bcra.2024.100206_br0290","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jpdc.2022.01.029","article-title":"SG-PBFT: a secure and highly efficient distributed blockchain pbft consensus algorithm for intelligent Internet of vehicles","volume":"164","author":"Xu","year":"2022","journal-title":"J. Parallel Distrib. Comput."},{"key":"10.1016\/j.bcra.2024.100206_br0300","doi-asserted-by":"crossref","first-page":"12240","DOI":"10.1109\/ACCESS.2018.2812844","article-title":"RBAC-SC: role-based access control using smart contract","volume":"6","author":"Cruz","year":"2018","journal-title":"IEEE Access"}],"container-title":["Blockchain: Research and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2096720924000198?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2096720924000198?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T18:57:08Z","timestamp":1729018628000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2096720924000198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["S2096720924000198"],"URL":"https:\/\/doi.org\/10.1016\/j.bcra.2024.100206","relation":{},"ISSN":["2096-7209"],"issn-type":[{"value":"2096-7209","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-task learning for PBFT optimisation in permissioned blockchains","name":"articletitle","label":"Article Title"},{"value":"Blockchain: Research and Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bcra.2024.100206","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 THE AUTHORS. Published by Elsevier B.V. on behalf of Zhejiang University Press.","name":"copyright","label":"Copyright"}],"article-number":"100206"}}