{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:50:57Z","timestamp":1778169057581,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key Research and Development Plan of China","award":["2016YFB0801004"],"award-info":[{"award-number":["2016YFB0801004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2927552","type":"journal-article","created":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T20:13:32Z","timestamp":1562703212000},"page":"91641-91656","source":"Crossref","is-referenced-by-count":62,"title":["Malware Classification Using Probability Scoring and Machine Learning"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6430-5466","authenticated-orcid":false,"given":"Di","family":"Xue","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7246-3093","authenticated-orcid":false,"given":"Jingmei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tu","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weifei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1039\/b918972f"},{"key":"ref38","first-page":"467","article-title":"Class-based n-Gram models of natural language","volume":"18","author":"brown","year":"1992","journal-title":"Computational Linguistics"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.48"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2897845.2897860"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/RWEEK.2017.8088644"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.02.149"},{"key":"ref37","year":"2018","journal-title":"Cuckoo Sandbox"},{"key":"ref36","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"28","author":"maas","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref60","article-title":"A preliminary study on the sustainability of Android malware detection","author":"cai","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2879302"},{"key":"ref27","article-title":"DroidCat: Unified dynamic detection of Android malware","author":"cai","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/132713"},{"key":"ref2","author":"christiaan","year":"2018","journal-title":"McAfee Labs Threats Reports McAfee"},{"key":"ref1","year":"2018","journal-title":"Kaspersky security bulletin overall statistics for 2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ifs.2017.0430"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40576-1_37"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-015-1594-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2018.8514191"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50127-7_11"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2016.25"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-014-0226-7"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178304"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258512"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3183440.3195004"},{"key":"ref58","first-page":"350","article-title":"On the deterioration of learning-based malware detectors for Android","author":"fu","year":"2019","journal-title":"Proc IEEE 41st Int Conf Softw Eng Companion"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2018.05.010"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966340"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.092"},{"key":"ref54","first-page":"328","article-title":"Malware variants detection based on opcode image recognition in small training set","author":"wang","year":"2017","journal-title":"Proc IEEE Int Conf Cloud Comput Big Data Anal"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1186\/2190-8532-1-1"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2017.11.016"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601325"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMAI.2017.8073489"},{"key":"ref40","first-page":"448","article-title":"Malware classification using static analysis based features","volume":"37","author":"hassen","year":"2015","journal-title":"Proc 32th Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7247095"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/NTMS.2018.8328749"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2016.151"},{"key":"ref15","first-page":"1","article-title":"Malware analysis and classification using artificial neural network","author":"makandar","year":"2016","journal-title":"Proc IEEE Int Conf Trends Autom Commun Comput Technol"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3313391"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029825"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.61"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/659101"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2016904.2016908"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2046684.2046689"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3139367.3139400"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref8","first-page":"125","article-title":"Research on malicious code variants detection based on texture fingerprint","volume":"35","author":"han","year":"2014","journal-title":"J Commun"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CICYBS.2013.6597204"},{"key":"ref49","first-page":"1018","article-title":"Malware classification using gray-scale images and ensemble learning","author":"liu","year":"2017","journal-title":"Proc Int Conf Inform Sci Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2018.05.001"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref45","first-page":"86","article-title":"Homology analysis of malware based on graph","volume":"38","author":"zhao","year":"2017","journal-title":"J Commun"},{"key":"ref48","first-page":"112","article-title":"Dynamic graph-based malware classifier","author":"jazi","year":"2017","journal-title":"proceedings of Privacy-Security-Trust"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.10.036"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5120\/6194-8715"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2017.8116413"},{"key":"ref44","year":"2018","journal-title":"VxHeaven"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.09.004"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08758215.pdf?arnumber=8758215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:04Z","timestamp":1628624404000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8758215\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2927552","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}