{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:29:59Z","timestamp":1775838599709,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003593","name":"CNPq - Brazilian National Research Council","doi-asserted-by":"publisher","award":["312180\/2019-5 PQ-2"],"award-info":[{"award-number":["312180\/2019-5 PQ-2"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"CNPq - Brazilian National Research Council","doi-asserted-by":"publisher","award":["LargEWiN BRICS2017-591"],"award-info":[{"award-number":["LargEWiN BRICS2017-591"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"CNPq - Brazilian National Research Council","doi-asserted-by":"publisher","award":["(INCT in Cybersecurity) 465741\/2014-2"],"award-info":[{"award-number":["(INCT in Cybersecurity) 465741\/2014-2"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"CAPES - Brazilian Higher Education Personnel Improvement Coordination","doi-asserted-by":"publisher","award":["FORTE 23038.007604\/2014-69"],"award-info":[{"award-number":["FORTE 23038.007604\/2014-69"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"CAPES - Brazilian Higher Education Personnel Improvement Coordination","doi-asserted-by":"publisher","award":["PROBRAL 88887.144009\/2017-00"],"award-info":[{"award-number":["PROBRAL 88887.144009\/2017-00"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005668","name":"FAP-DF - Brazilian Federal District Research Support Foundation","doi-asserted-by":"publisher","award":["UIoT 0193.001366\/2016"],"award-info":[{"award-number":["UIoT 0193.001366\/2016"]}],"id":[{"id":"10.13039\/501100005668","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005668","name":"FAP-DF - Brazilian Federal District Research Support Foundation","doi-asserted-by":"publisher","award":["SSDDC 0193.001365\/2016"],"award-info":[{"award-number":["SSDDC 0193.001365\/2016"]}],"id":[{"id":"10.13039\/501100005668","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Brazilian Ministry of the Economy","award":["DIPLA 005\/2016"],"award-info":[{"award-number":["DIPLA 005\/2016"]}]},{"name":"Brazilian Ministry of the Economy","award":["ENAP 083\/2016"],"award-info":[{"award-number":["ENAP 083\/2016"]}]},{"name":"Institutional Security Office of the Presidency of Brazil","award":["ABIN 002\/2017"],"award-info":[{"award-number":["ABIN 002\/2017"]}]},{"name":"Administrative Council for Economic Defense","award":["CADE 08700.000047\/2019-14"],"award-info":[{"award-number":["CADE 08700.000047\/2019-14"]}]},{"name":"General Attorney of the Union","award":["AGU 697.935\/2019"],"award-info":[{"award-number":["AGU 697.935\/2019"]}]},{"name":"DPI\/DPG\/UnB\u2013Decanates of Research and Innovation and Postgraduate Studies of the University of Brasilia"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2989126","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T20:12:20Z","timestamp":1587499940000},"page":"76368-76385","source":"Crossref","is-referenced-by-count":50,"title":["From Feature Engineering and Topics Models to Enhanced Prediction Rates in Phishing Detection"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2917-3605","authenticated-orcid":false,"given":"Eder S.","family":"Gualberto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1101-3029","authenticated-orcid":false,"given":"Rafael T.","family":"De Sousa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0512-374X","authenticated-orcid":false,"given":"Thiago P.","family":"De B. Vieira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8616-4924","authenticated-orcid":false,"given":"Joao Paulo C. L.","family":"Da Costa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3558-466X","authenticated-orcid":false,"given":"Claudio G.","family":"Duque","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1108\/K-07-2014-0129"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0118432"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33167-1_47"},{"key":"ref32","author":"elaassal","year":"2018","journal-title":"Proc IWSPA-AP Anti Phishing Shared Task Pilot 4th ACM IWSPA"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24846\/v22i1y201307"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242660"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913705"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2837889"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5815\/ijieeb.2015.02.08"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2012.12.002"},{"key":"ref28","author":"mason","year":"0","journal-title":"The Apache Spamassassin Public Corpus"},{"key":"ref27","author":"nazario","year":"0","journal-title":"Phishing Corpus"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2702187"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s40163-014-0009-y"},{"key":"ref1","year":"2019","journal-title":"Total Global Email & Spam"},{"key":"ref20","first-page":"64","article-title":"Machine learning based phishing E-mail detection","volume":"2124","author":"unnithan","year":"2018","journal-title":"Proc CEUR Workshop (CEUR-WS)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2010.5484762"},{"key":"ref21","first-page":"21","article-title":"A machine learning approach towards phishing email detection","volume":"2124","author":"harikrishnan","year":"2018","journal-title":"Proc CEUR Workshop (CEUR-WS)"},{"key":"ref24","first-page":"50","article-title":"Detecting phishing e-mail using machine learning techniques","volume":"2124","author":"unnithan","year":"2018","journal-title":"Proc CEUR Workshop (CEUR-WS)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/1687-417X-2012-1"},{"key":"ref26","first-page":"39","article-title":"Deepanti-phishnet: Applying deep neural networks for phishing Email detection","volume":"2124","author":"vinayakumar","year":"2018","journal-title":"Proc CEUR Workshop (CEUR-WS)"},{"key":"ref25","first-page":"10","article-title":"Distributed representation using target classes: Bag of tricks for security and privacy analytics","volume":"2124","author":"ganesh","year":"2018","journal-title":"Proc CEUR Workshop (CEUR-WS)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5145-4"},{"key":"ref51","first-page":"288","article-title":"Reading tea leaves: How humans interpret topic models","volume":"32","author":"chang","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref57","article-title":"Feature selection and feature extraction in pattern analysis: A literature review","volume":"abs 1905 2845","author":"ghojogh","year":"2019","journal-title":"ArXiv"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref55","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017197"},{"key":"ref53","first-page":"1","article-title":"Evaluating topic coherence measures","volume":"abs 1403 6397","author":"rosner","year":"2014","journal-title":"Comput Res Repository (CoRR)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685324"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920655"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom.2011.126"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1299015.1299021"},{"key":"ref12","first-page":"51","article-title":"Detecting phishing E-mail using machine learning techniques","author":"unnithan","year":"2018","journal-title":"Proc 1st Anti-Phishing Shared Task Pilot 4th ACM IWSPA Co-Located 8th ACM Conf Data Appl Secur Privacy (CODASPY)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3190645.3190719"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5121\/ijnsa.2016.8405"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-014-0007-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2200\/S00762ED1V01Y201703HLT037"},{"key":"ref17","first-page":"758","article-title":"The curse of dimensionality in data mining and time series prediction","author":"verleysen","year":"2005","journal-title":"Proc 8th Int Conf Artif Neural Netw Comput Intell Bioinspired Syst"},{"key":"ref18","first-page":"653","article-title":"Similarity learning for high-dimensional sparse data","volume":"38","author":"liu","year":"2015","journal-title":"Proceedings of Machine Learning Research (PMLR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2934"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.050"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2017.04.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.030713.00020"},{"key":"ref5","first-page":"547","article-title":"Detection of phishing E-mail","volume":"2","author":"singh","year":"2011","journal-title":"Int J Comput Sci Technol"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"11","DOI":"10.15623\/ijret.2014.0306003","article-title":"Learning to detect phishing Urls","volume":"3","author":"basnet","year":"2014","journal-title":"Int J Res Eng Technol"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2017.2723818"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2017.07.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2892066"},{"key":"ref46","author":"alpaydin","year":"2014","journal-title":"Introduction to Machine Learning"},{"key":"ref45","article-title":"Using TF-IDF to determine word relevance in document queries","author":"ramos","year":"2003","journal-title":"Proc 1st instructional Conf Machine Learning"},{"key":"ref48","first-page":"952","article-title":"Exploring topic coherence over many models and many topics","author":"stevens","year":"2012","journal-title":"Proc Joint Conf Empirical Methods Natural Lang Process Comput Natural Lang Learn (MNLP-CoNLL)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2133806.2133826"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref41","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref44","first-page":"3","article-title":"Formal ontologies and information systems","author":"guarino","year":"1998","journal-title":"Proc 1st Int Conf (FOIS)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09075252.pdf?arnumber=9075252","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:45Z","timestamp":1642003065000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9075252\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2989126","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}