{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T01:24:06Z","timestamp":1770341046221,"version":"3.49.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:00:00Z","timestamp":1704499200000},"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":[[2024,1,6]]},"DOI":"10.1109\/ccnc51664.2024.10454669","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:53:49Z","timestamp":1710788029000},"page":"356-359","source":"Crossref","is-referenced-by-count":8,"title":["Detecting Zero-Day Attack with Federated Learning Using Autonomously Extracted Anomalies in IoT"],"prefix":"10.1109","author":[{"given":"Takahiro","family":"Ohtani","sequence":"first","affiliation":[{"name":"The University of Electro-Communications,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryo","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"The University of Electro-Communications,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satoshi","family":"Ohzahata","sequence":"additional","affiliation":[{"name":"The University of Electro-Communications,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/3241189.3241275"},{"key":"ref2","article-title":"NJCCIC threat profile Satori","volume-title":"New Jersey Cybersecurity Communications Integration Cell","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2018.05.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-021-09420-0"},{"key":"ref5","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics. PMLR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00080"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3100755"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7496.001.0001"},{"key":"ref10","article-title":"Flower: A friendly federated learning research framework","volume":"abs\/2007.14390","author":"Beutel","year":"2020","journal-title":"CoRR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2018.03367731"}],"event":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2024,1,6]]},"end":{"date-parts":[[2024,1,9]]}},"container-title":["2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10454139\/10454627\/10454669.pdf?arnumber=10454669","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T13:09:33Z","timestamp":1711458573000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10454669\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,6]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/ccnc51664.2024.10454669","relation":{},"subject":[],"published":{"date-parts":[[2024,1,6]]}}}