{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:21:30Z","timestamp":1774041690174,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"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":[[2021,9]]},"DOI":"10.1109\/vtc2021-fall52928.2021.9625540","type":"proceedings-article","created":{"date-parts":[[2021,12,10]],"date-time":"2021-12-10T20:44:53Z","timestamp":1639169093000},"page":"1-6","source":"Crossref","is-referenced-by-count":11,"title":["A Hybrid Intrusion Detection System Based on Machine Learning under Differential Privacy Protection"],"prefix":"10.1109","author":[{"given":"Jibo","family":"Shi","sequence":"first","affiliation":[]},{"given":"Yun","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Zherui","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shui","family":"Yu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149384"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2017.8126009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00063"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2016.2599873"},{"key":"ref5","article-title":"Calibrating noise to sensitivity in private data analysis","author":"dwork","year":"2006","journal-title":"Theory of Cryptography Conference"},{"key":"ref8","article-title":"Plausi-ble deniability for privacy-preserving data synthesis","author":"bindschaedler","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2607691"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CBD.2014.41"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2931068"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7"}],"event":{"name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","location":"Norman, OK, USA","start":{"date-parts":[[2021,9,27]]},"end":{"date-parts":[[2021,9,30]]}},"container-title":["2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9624467\/9625043\/09625540.pdf?arnumber=9625540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:53:53Z","timestamp":1652201633000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9625540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/vtc2021-fall52928.2021.9625540","relation":{},"subject":[],"published":{"date-parts":[[2021,9]]}}}