{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T23:28:35Z","timestamp":1776727715861,"version":"3.51.2"},"reference-count":54,"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\/4.0\/legalcode"}],"funder":[{"name":"Research Center for Informatics through OP VVV MEYS","award":["CZ.02.1.01\/0.0\/0.0\/16 019\/0000765"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/16 019\/0000765"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3094064","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T19:49:17Z","timestamp":1625168957000},"page":"96151-96165","source":"Crossref","is-referenced-by-count":10,"title":["Application of Distance Metric Learning to Automated Malware Detection"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6546-8953","authenticated-orcid":false,"given":"Martin","family":"Jurecek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Lorencz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume":"4","author":"eberhart","year":"1995","journal-title":"Proc IEEE Int Conf Neural Netw"},{"key":"ref38","first-page":"612","article-title":"Metric learning for kernel regression","author":"weinberger","year":"2007","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref32","first-page":"4","article-title":"Distance metric learning: A comprehensive survey","volume":"2","author":"yang","year":"2006","journal-title":"Michigan State University"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.08.017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1006593614256"},{"key":"ref37","first-page":"513","article-title":"Neighbourhood components analysis","author":"goldberger","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390302"},{"key":"ref35","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","author":"weinberger","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","article-title":"A survey on metric learning for feature vectors and structured data","author":"bellet","year":"2013","journal-title":"arXiv 1306 6709"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"759","DOI":"10.4149\/cai_2018_3_759","article-title":"Malware detection using a heterogeneous distance function","volume":"37","author":"jure?ek","year":"2018","journal-title":"Inform Comput"},{"key":"ref27","first-page":"725","article-title":"Distance metric learning using particle swarm optimization to improve static malware detection","author":"jure?ek","year":"2020","journal-title":"Proc 6th Int Conf Inf Syst Secur Privacy"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1613\/jair.346"},{"key":"ref2","author":"monnappa","year":"2018","journal-title":"Learning Malware Analysis Explore the Concepts Tools and Techniques to Analyze and Investigate Windows Malware"},{"key":"ref1","author":"salomon","year":"2006","journal-title":"Foundations of Computer Security"},{"key":"ref20","year":"2021"},{"key":"ref22","year":"2021"},{"key":"ref21","year":"0"},{"key":"ref24","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140442"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2017.01.003"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966340"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/321033.321035"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/03684921311295547","article-title":"Boosting: Foundations and algorithms","volume":"42","author":"schapire","year":"2013","journal-title":"Kybernetes"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113022"},{"key":"ref11","year":"2021","journal-title":"MALICIA PROJECT Malware in Cybercrime"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6849-3"},{"key":"ref12","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3014245"},{"key":"ref14","year":"2021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2020.102661"},{"key":"ref16","article-title":"Microsoft malware classification challenge","author":"ronen","year":"2018","journal-title":"arXiv 1802 10135"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2927552"},{"key":"ref18","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.064"},{"key":"ref4","author":"luke","year":"2013","journal-title":"Essentials of Metaheuristics"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1016\/j.sysarc.2020.101861","article-title":"A survey on machine learning-based malware detection in executable files","volume":"112","author":"singh","year":"2021","journal-title":"J Syst Archit"},{"key":"ref6","year":"2021","journal-title":"PE Format&#x2014;Win32 Apps"},{"key":"ref5","first-page":"643","article-title":"Improving classification of malware families using learning a distance metric","author":"jure?ek","year":"2021","journal-title":"Proc 7th Int Conf Inf Syst Secur Privacy"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.jnca.2019.102526","article-title":"The rise of machine learning for detection and classification of malware: Research developments, trends and challenges","volume":"153","author":"gibert","year":"2020","journal-title":"J Netw Comput Appl"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2020.24310"},{"key":"ref49","volume":"1","author":"friedman","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2963724"},{"key":"ref46","article-title":"A tutorial on principal components analysis","author":"smith","year":"2002"},{"key":"ref45","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref42","year":"2021","journal-title":"Scikit-learn Machine Learning in Python"},{"key":"ref41","author":"carrera","year":"2021","journal-title":"Pefile"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2474-6"},{"key":"ref43","year":"1999","journal-title":"Microsoft Portable Executable and Common Object File Format Specification"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09469874.pdf?arnumber=9469874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T22:39:21Z","timestamp":1643409561000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9469874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3094064","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}