{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T18:37:03Z","timestamp":1780943823945,"version":"3.54.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"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":[],"published-print":{"date-parts":[[2024,9,2]]},"DOI":"10.1109\/csr61664.2024.10679348","type":"proceedings-article","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T17:21:51Z","timestamp":1727198511000},"page":"01-08","source":"Crossref","is-referenced-by-count":12,"title":["Explainable Federated Learning for Botnet Detection in IoT Networks"],"prefix":"10.1109","author":[{"given":"Rajesh","family":"Kalakoti","sequence":"first","affiliation":[{"name":"School of Information Technology, Taltech,Department of Software Science,Tallinn,Estonia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hayretdin","family":"Bahsi","sequence":"additional","affiliation":[{"name":"School of Information Technology,Department of Software Science,TalTech,Estonia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"N\u00f5mm","sequence":"additional","affiliation":[{"name":"School of Information Technology, Taltech,Department of Software Science,Tallinn,Estonia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICEICE.2017.8191906"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5120\/3399-4730"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3204001"},{"key":"ref4","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref5","article-title":"Roadmap for a rigorous science of interpretability. arxiv","author":"Doshi-Velez","year":"2017","journal-title":"arXiv preprint"},{"key":"ref6","volume-title":"General data protection regulation (gdpr) - official legal text","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/app5.246"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2200\/s00960ed2v01y201910aim043"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/app8122663"},{"key":"ref11","first-page":"374","article-title":"Towards federated learning at scale: System design","volume-title":"Proceedings of machine learning and systems","volume":"1","author":"Bonawitz","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00080"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2020.101157"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3011726"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107337"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3360626"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA58977.2023.00088"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00193"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2018.03367731"},{"key":"ref20","article-title":"A unified approach to in-terpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1515\/9781400881970-018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44067-0_8"},{"key":"ref23","article-title":"Flower: A friendly federated learning research framework","author":"Beutel","year":"2020","journal-title":"arXiv preprint"}],"event":{"name":"2024 IEEE International Conference on Cyber Security and Resilience (CSR)","location":"London, United Kingdom","start":{"date-parts":[[2024,9,2]]},"end":{"date-parts":[[2024,9,4]]}},"container-title":["2024 IEEE International Conference on Cyber Security and Resilience (CSR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10679369\/10679342\/10679348.pdf?arnumber=10679348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T05:19:55Z","timestamp":1727241595000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10679348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,2]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/csr61664.2024.10679348","relation":{},"subject":[],"published":{"date-parts":[[2024,9,2]]}}}