{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:37:21Z","timestamp":1776443841695,"version":"3.51.2"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,15]]},"DOI":"10.1109\/asianhost51057.2020.9358249","type":"proceedings-article","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T21:25:45Z","timestamp":1614374745000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Malware Classification Through Attention Residual Network based Visualization"],"prefix":"10.1109","author":[{"given":"Diangarti Bhalang","family":"Tariang","sequence":"first","affiliation":[]},{"given":"Sri Charan","family":"Birudaraju","sequence":"additional","affiliation":[]},{"given":"Ruchira","family":"Naskar","sequence":"additional","affiliation":[]},{"given":"Vijeta","family":"Khare","sequence":"additional","affiliation":[]},{"given":"Rajat Subhra","family":"Chakraborty","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-018-0323-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906934"},{"key":"ref12","first-page":"1","article-title":"Malware image analysis and classification using support vector machine","volume":"4","author":"makandar","year":"2015","journal-title":"International Journal of Trends in Computer Science and Engineering"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77028-4_9"},{"key":"ref14","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.00-19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/NTMS.2018.8328749"},{"key":"ref18","author":"agarap","year":"2017","journal-title":"Towards building an intelligent anti-malware system A deep learning approach using support vector machine (SVM) for malware classification"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2016.7856826"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1013886.1007518"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref3","author":"baldangombo","year":"2013","journal-title":"A Static Malware Detection System Using Data Mining Methods"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-006-0012-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-011-0152-x"},{"key":"ref8","author":"nataraj","year":"2015","journal-title":"A Signal Processing Approach To malware Analysis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2016904.2016908"},{"key":"ref2","first-page":"38","article-title":"Data mining methods for detection of new malicious executables","author":"schultz","year":"2000","journal-title":"Proceedings 2001 IEEE Symposium on Security and Privacy S&P 2001 SECPRI"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.13005\/ojcst\/10.02.20"},{"key":"ref1","author":"sikorski","year":"2012","journal-title":"Practical Malware Analysis The Hands-On Guide to Dissecting Malicious Software"},{"key":"ref20","article-title":"Mi-crosoft malware classification challenge","author":"ronen","year":"2018","journal-title":"CoRR vol abs\/1802 10135"},{"key":"ref22","author":"yue","year":"2017","journal-title":"Imbalanced Malware Images Classification a CNN based Approach"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom.2016.0163"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref26","author":"liu","year":"2015","journal-title":"Parsenet Looking wider to see better"},{"key":"ref25","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","location":"Kolkata, India","start":{"date-parts":[[2020,12,15]]},"end":{"date-parts":[[2020,12,17]]}},"container-title":["2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9358237\/9358248\/09358249.pdf?arnumber=9358249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T16:06:42Z","timestamp":1656346002000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9358249\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,15]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/asianhost51057.2020.9358249","relation":{},"subject":[],"published":{"date-parts":[[2020,12,15]]}}}