{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T12:08:41Z","timestamp":1780488521538,"version":"3.54.1"},"reference-count":49,"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":[{"name":"MSITMinistry of Science and ICT","award":["IITP-2020-0-01832"],"award-info":[{"award-number":["IITP-2020-0-01832"]}]},{"name":"Soonchunhyang University Research Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3036491","type":"journal-article","created":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T20:56:32Z","timestamp":1604696192000},"page":"206303-206324","source":"Crossref","is-referenced-by-count":125,"title":["Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm"],"prefix":"10.1109","volume":"8","author":[{"given":"S. Abijah","family":"Roseline","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6850-9423","authenticated-orcid":false,"given":"S.","family":"Geetha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1939-4842","authenticated-orcid":false,"given":"Seifedine","family":"Kadry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3318-9394","authenticated-orcid":false,"given":"Yunyoung","family":"Nam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.10.036"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20951-3_6"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2469253"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2016.7856826"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2016904.2016908"},{"key":"ref30","year":"2019","journal-title":"Malwarebytes 2019 Threat Report"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2068544"},{"key":"ref36","first-page":"38","article-title":"Data mining methods for detection of new malicious executables","author":"schultz","year":"2000","journal-title":"Proc IEEE Symp Secur Privacy (S&P)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.08.020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.06.016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2948358"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258512"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ITACT.2015.7492653"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2857705.2857713"},{"key":"ref1","article-title":"Towards building an intelligent anti-malware system: A deep learning approach using support vector machine (SVM) for malware classification","author":"agarap","year":"2017","journal-title":"arXiv 1801 00318"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/NTMS.2018.8328749"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-018-0324-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CICYBS.2013.6597204"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014105"},{"key":"ref23","first-page":"351","article-title":"Effective and efficient malware detection at the end host","volume":"4","author":"kolbitsch","year":"2009","journal-title":"Proc Usenix Secur Symp"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2892500"},{"key":"ref25","first-page":"118s","article-title":"Deep learning at the shallow end: Malware classification for non-domain experts","volume":"26","author":"le","year":"2018","journal-title":"Investigative Radiology"},{"key":"ref10","year":"2019","journal-title":"Cylance 2019 Threat Report"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2014.2361525"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906934"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2017.10.007"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924331"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.01.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2805301"},{"key":"ref16","article-title":"Convolutional neural networks for malware classification","author":"gibert","year":"2016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04342-0_6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/132713"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2012.10.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-011-0152-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1654988.1655003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2019.8806511"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/18.661502"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2005.20"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.853425"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04342-0_6"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2822680"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-014-0248-7"},{"key":"ref45","article-title":"Deep forest","author":"zhou","year":"2017","journal-title":"arXiv 1702 08835"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/ab8e5e"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3015914"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113022"},{"key":"ref41","year":"2019","journal-title":"VirusTotal"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2016.7568542"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2013.49"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09250472.pdf?arnumber=9250472","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:00Z","timestamp":1642003020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9250472\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3036491","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}