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The first scheme uses features obtained from static and dynamic analysis for training, and the second scheme uses features obtained from static, dynamic, malware image analysis, location-sensitive hashing and file format inspections. We carried out an extensive experiment on two feature sets, and the proposed schemes are evaluated using seven standard evaluation metrics. The experiment results demonstrate that the second scheme recognizes unseen malware better than the first scheme and three state-of-the-art works. The findings show that the second scheme\u2019s multi-view feature set contributes to its 99.58% accuracy and lowers false positive rate of 0.54%. <\/jats:p>","DOI":"10.1142\/s0218194024500086","type":"journal-article","created":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T03:40:41Z","timestamp":1709350841000},"page":"909-939","source":"Crossref","is-referenced-by-count":3,"title":["Improving Windows Malware Detection Using the Random Forest Algorithm and Multi-View Analysis"],"prefix":"10.1142","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1871-2571","authenticated-orcid":false,"given":"S.","family":"Syed Suhaila","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4290-596X","authenticated-orcid":false,"given":"K.","family":"Sundara Krishnan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,4,13]]},"reference":[{"key":"S0218194024500086BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5906-5_848"},{"key":"S0218194024500086BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2020.101861"},{"key":"S0218194024500086BIB004","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-7618-5_53"},{"key":"S0218194024500086BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.06.002"},{"key":"S0218194024500086BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/j.gltp.2021.01.004"},{"key":"S0218194024500086BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-015-0261-z"},{"key":"S0218194024500086BIB009","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2018.11.001"},{"key":"S0218194024500086BIB010","doi-asserted-by":"publisher","DOI":"10.1145\/3329786"},{"key":"S0218194024500086BIB011","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107095"},{"key":"S0218194024500086BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102449"},{"key":"S0218194024500086BIB013","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2022.12.002"},{"issue":"2","key":"S0218194024500086BIB014","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1353-4858(19)30014-5","volume":"2019","author":"Zhao Y.","year":"2019","journal-title":"Sec. 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