{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:17:09Z","timestamp":1774945029771,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100002403","name":"Taibah University","doi-asserted-by":"publisher","award":["447-13-1012"],"award-info":[{"award-number":["447-13-1012"]}],"id":[{"id":"10.13039\/501100002403","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3628986","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T18:37:10Z","timestamp":1762281430000},"page":"190449-190470","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Hierarchical Federated Learning for IoT Anomaly Detection"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3594-6122","authenticated-orcid":false,"given":"Fatemah","family":"Alharbi","sequence":"first","affiliation":[{"name":"Computer Science Department, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Global IoT Forecast Report 2023\u20132033","year":"2024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2018.2855563"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/icrito61523.2024.10522388"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s18082611"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/mownet.2016.7496622"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/itnac46935.2019.9077977"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3438619"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/jcn.2024.000016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3410046"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2021.3090430"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3413069"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/icsip57908.2023.10270935"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2025.104105"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3460468"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.2024.3469988"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ojcoms.2024.3401746"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3369915"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/gast60528.2024.10520759"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3335385"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3397000"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/dcas57389.2023.10130231"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3407121"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tp.2024.3392721"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/smarttechcon57526.2023.10391420"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/mdm58254.2023.00038"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3435920"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.011.2000286"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/icnwc57852.2023.10127281"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/aibthings58340.2023.10292448"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/icmi60790.2024.10585926"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cscwd61410.2024.10580732"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3328310"},{"key":"ref33","first-page":"1","article-title":"Federated multimodal learning for IoT applications: A contrastive learning approach","volume-title":"Proc. 24th Asia\u2013Pacific Netw. Oper. Manage. Symp. (APNOMS)","author":"Le"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ucet54125.2021.9674950"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ecice59523.2023.10383173"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tnse.2021.3074185"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-78239-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/electronics14122331"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-93501-8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109139"},{"key":"ref41","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018","journal-title":"arXiv:1806.00582"},{"key":"ref42","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist. (AISTATS)","author":"McMahan"},{"key":"ref43","volume-title":"UNSW-NB15 Dataset","year":"2015"},{"key":"ref44","volume-title":"IoT-23: A Labeled Dataset With Malicious and Benign IoT Network Traffic","year":"2021"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/s19143184"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/mwc.001.2100102"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2017.2772792"},{"key":"ref48","article-title":"Deep learning techniques for cybersecurity intrusion detection: A review","volume":"169","author":"Ferrag","year":"2020","journal-title":"J. Netw. Comput. Appl."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/app13031431"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/s24206528"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ojcoms.2023.3342008"},{"issue":"6","key":"ref52","first-page":"4693","article-title":"Federated learning for IoT security: Privacy, efficiency, and reliability analysis","volume":"8","author":"Jalali","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6692061"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11226944.pdf?arnumber=11226944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:45:12Z","timestamp":1763059512000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11226944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3628986","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}