{"id":1930,"date":"2025-10-20T15:49:14","date_gmt":"2025-10-20T06:49:14","guid":{"rendered":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/?p=1930"},"modified":"2026-01-22T17:27:34","modified_gmt":"2026-01-22T08:27:34","slug":"release-of-a-high-accuracy-malware-detection-model-deepmaldetect-on-github","status":"publish","type":"post","link":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/en\/archives\/1930","title":{"rendered":"Release of a\u00a0high-accuracy\u00a0malware\u00a0detection\u00a0model,\u00a0DeepMalDetect, on GitHub\u00a0\u00a0"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">In a recent development, Mr.\u00a0Sangawa, a\u00a0M2\u00a0student, has released a deep neural network (DNN)-based malware detection model named\u00a0DeepMalDetect\u00a0on GitHub. This model\u00a0is capable of learning\u00a0complex features through its multi-layered architecture. The repository can be accessed <a href=\"https:\/\/github.com\/tcu-masuda-lab\/deep-mal-detect\">here<\/a>. This work is based on the research presented at the 2025 International Conference on Intelligent Information Technology (ICIIT 2025), held in February 2025 in Hanoi, Vietnam. The presentation was titled \u201cParallel-processed Hyperparameter Tuning for Higher Accuracy of Malware Detection.\u201d\u00a0\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By using the publicly available model and source code, experiments&nbsp;utilizing&nbsp;a high-accuracy DNN-based malware detection model can be reproduced. The detection performance was evaluated in terms of&nbsp;accuracy and recall, and the proposed model&nbsp;demonstrated&nbsp;superior performance compared with models presented in prior studies, while using the same number of training epochs.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For further details on the model and experimental&nbsp;methodology, please refer to the <a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3731763.3731797\">following paper<\/a>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"378\" height=\"414\" src=\"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wordpress\/wp-content\/uploads\/2026\/01\/image.png\" alt=\"\" class=\"wp-image-1927\" srcset=\"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wordpress\/wp-content\/uploads\/2026\/01\/image.png 378w, https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wordpress\/wp-content\/uploads\/2026\/01\/image-274x300.png 274w\" sizes=\"auto, (max-width: 378px) 100vw, 378px\" \/><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>In a recent development, Mr. Sangawa, a M2 student, has released a deep neural network (DNN)-based malware detection model named DeepMalDetect on GitHub. <\/p>\n","protected":false},"author":14,"featured_media":1928,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"no","_lmt_disable":"","_locale":"en_US","_original_post":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/?p=1926","footnotes":""},"categories":[24],"tags":[],"class_list":["post-1930","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-24","en-US"],"modified_by":"\u89d2\u7530\u3000\u7a1a\u5b99","_links":{"self":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/posts\/1930","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/comments?post=1930"}],"version-history":[{"count":4,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/posts\/1930\/revisions"}],"predecessor-version":[{"id":1938,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/posts\/1930\/revisions\/1938"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/media\/1928"}],"wp:attachment":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/media?parent=1930"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/categories?post=1930"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/tags?post=1930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}