{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:41:35Z","timestamp":1783528895103,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1708260"],"award-info":[{"award-number":["U1708260"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1736203"],"award-info":[{"award-number":["U1736203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Dependable and Secure Comput."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tdsc.2021.3066202","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T19:51:00Z","timestamp":1616010660000},"page":"1-1","source":"Crossref","is-referenced-by-count":28,"title":["Sustainable Ensemble Learning Driving Intrusion Detection Model"],"prefix":"10.1109","author":[{"given":"Xinghua","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurence T.","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengfan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuo","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17031082"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.01.009"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","article-title":"The random subspace method for constructing decision forests","volume":"20","author":"barandiaran","year":"1998","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.26"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2293393"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICORR.2011.5975346"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCICCT.2014.6993144"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-016-0716-0"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.eswa.2017.07.005","article-title":"A feature reduced intrusion detection system using ANN classifier","volume":"88","author":"manzoor","year":"2017","journal-title":"Expert Syst Appl"},{"key":"ref40","first-page":"3182","article-title":"Gradient boosted decision trees for high dimensional sparse output","author":"si","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CONFLUENCE.2017.7943121"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-0971-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2017.06.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IntelliSys.2015.7361264"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1007\/978-981-10-0281-6_71","article-title":"A combination of PSO-based feature selection and tree-based classifiers ensemble for intrusion detection systems","author":"tama","year":"2015","journal-title":"Proc Adv Comp Sci Ubiquitous Comput"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2304474"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.069"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2004.841738"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.07.044"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2199119"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.11.026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972733.3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.12.040"},{"key":"ref9","first-page":"65","article-title":"Industrial control system traffic datasets for intrusion detection research","author":"morris","year":"2014","journal-title":"Int Conf on Critical Infrastructure Protection"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2823766"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.10.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0586-6"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1914980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2782826"},{"key":"ref41","first-page":"391","article-title":"LightGBM algorithm for malware detection","author":"al-kasassbeh","year":"2020","journal-title":"Proc Sci Inf Conf"},{"key":"ref23","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","author":"ke","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","first-page":"1643","article-title":"Hazard assessment modeling: An evolutionary ensemble approach","author":"opitz","year":"1999","journal-title":"Proc 1st Annu Conf Genetic Evol Comput"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.882080"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/4235.887237"}],"container-title":["IEEE Transactions on Dependable and Secure Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8858\/4358699\/09380306.pdf?arnumber=9380306","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T21:59:14Z","timestamp":1643407154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9380306\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tdsc.2021.3066202","relation":{},"ISSN":["1545-5971","1941-0018","2160-9209"],"issn-type":[{"value":"1545-5971","type":"print"},{"value":"1941-0018","type":"electronic"},{"value":"2160-9209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}