{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:30:25Z","timestamp":1777890625162,"version":"3.51.4"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3093094","type":"journal-article","created":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T21:23:08Z","timestamp":1624915388000},"page":"93089-93096","source":"Crossref","is-referenced-by-count":54,"title":["An Effective Cost-Sensitive XGBoost Method for Malicious URLs Detection in Imbalanced Dataset"],"prefix":"10.1109","volume":"9","author":[{"given":"Shen","family":"He","sequence":"first","affiliation":[{"name":"Department of Security Technology, China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7379-8346","authenticated-orcid":false,"given":"Bangling","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Security Technology, China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaxi","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Security Technology, China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Xin","sequence":"additional","affiliation":[{"name":"Department of Security Technology, China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Security Technology, China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","first-page":"3035","article-title":"Improved privacy preservation of personal health records via tokenizationl","volume":"118","author":"pati","year":"2018","journal-title":"Int J Pure Appl Math"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007452223027"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.01.083"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2019.101623"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare8030247"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2910277"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2161285"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106019"},{"key":"ref16","first-page":"11","article-title":"Spectrum of advancements and developments in multidisciplinary domains for generative adversarial networks (GANs)","author":"rizvi","year":"2021","journal-title":"Arch Comput Methods Eng"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCT.2018.8529634"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s19010203"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.powtec.2020.07.065"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.369"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2478\/cait-2018-0002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref3","first-page":"74","article-title":"Method for detecting a malicious domain by using whois and dns features","author":"kuyama","year":"2016","journal-title":"Proc 3rd Int Conf Forensics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-169429"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2020.101494"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-021-09587-8"},{"key":"ref2","first-page":"21","article-title":"Learning to detect phishing Web pages","volume":"4","author":"basnet","year":"2014","journal-title":"J Internet Serv Inf Secur"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.agrformet.2018.08.019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2010.5462216"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0026682"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11503415_11"},{"key":"ref21","first-page":"973","article-title":"The foundations of cost-sensitive learning","author":"elkan","year":"2001","journal-title":"Proc 17th Int Joint Con Artif Intell"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/01605682.2019.1581405"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.05.021"},{"key":"ref26","article-title":"Tree boosting with XGBoost—Why does XGBoost win ‘Every’ machine learning competition?","author":"nielsen","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113275"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09466844.pdf?arnumber=9466844","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:48:07Z","timestamp":1662670087000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9466844\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3093094","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}