{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:11:56Z","timestamp":1760710316990,"version":"3.37.3"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"A*STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund Pre Positioning","award":["A19D6a0053"],"award-info":[{"award-number":["A19D6a0053"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1109\/tits.2020.3011452","type":"journal-article","created":{"date-parts":[[2020,8,3]],"date-time":"2020-08-03T21:23:27Z","timestamp":1596489807000},"page":"368-382","source":"Crossref","is-referenced-by-count":20,"title":["FS-MOEA: A Novel Feature Selection Algorithm for IDSs in Vehicular Networks"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1999-0254","authenticated-orcid":false,"given":"Junwei","family":"Liang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1438-7018","authenticated-orcid":false,"given":"Maode","family":"Ma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-016-1300-5"},{"journal-title":"Information Gain","year":"2019","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623496307510"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.804221"},{"journal-title":"Matrix Laboratory MATLAB","year":"2019","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/S0263-7863(99)00038-1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2496(77)90033-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3136625"},{"key":"ref11","article-title":"Feature selection for classification: A review","volume":"37","author":"tang","year":"2014","journal-title":"Data Classification Algorithms and Applications"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2017.03.006"},{"key":"ref13","first-page":"271","article-title":"Comparative study of attribute selection using gain ratio and correlation based feature selection","volume":"2","author":"karegowda","year":"2010","journal-title":"Int J Inf Technol Knowl Manage"},{"key":"ref14","first-page":"4429","article-title":"A novel gene selection method using modified MRMR and hybrid bat-inspired algorithm with $\\beta$\n-hill climbing","volume":"48","author":"alomari","year":"2018","journal-title":"Int J Speech Technol"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.11.006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2724940"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1017\/S0263574719000304","article-title":"Design and implementation of a facial character analysis algorithm for humanoid robots","volume":"37","author":"g\u00f6ng\u00f6r","year":"2019","journal-title":"Robotica"},{"journal-title":"Feature Selection","year":"2019","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2762828"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/5.58325"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.08.013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.12.001"},{"key":"ref3","first-page":"149","article-title":"Host based intrusion detection system with combined CNN\/RNN model","author":"chawla","year":"2018","journal-title":"Proc 2nd Int Workshop AI Secur"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.10.030"},{"journal-title":"Self-organizingmaps","year":"2019","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2015.12.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2697407"},{"key":"ref7","first-page":"136","article-title":"Detecting impersonation attack in WiFi networks using deep learning approach","author":"aminanto","year":"2016","journal-title":"Proc Int Workshop Inf Secur Appl"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2905415"},{"journal-title":"Statistics for Engineers and Scientists","year":"2010","author":"navidi","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/EBK1439819197"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281534"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-05258-3_56"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2402161"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.851275"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.09.022"},{"journal-title":"Jaccard Index","year":"2019","key":"ref25"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9664404\/09154759.pdf?arnumber=9154759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T17:57:24Z","timestamp":1649440644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9154759\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":36,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2020.3011452","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2022,1]]}}}