{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T07:41:43Z","timestamp":1787902903866,"version":"build-2784847793"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T00:00:00Z","timestamp":1680652800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T00:00:00Z","timestamp":1680652800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,5]]},"DOI":"10.1109\/isqed57927.2023.10129348","type":"proceedings-article","created":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T17:33:09Z","timestamp":1684949589000},"page":"1-8","source":"Crossref","is-referenced-by-count":28,"title":["Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method"],"prefix":"10.1109","author":[{"given":"Zhangying","family":"He","sequence":"first","affiliation":[{"name":"California State University,Department of Computer Engineering and Computer Science,Long Beach,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hossein","family":"Sayadi","sequence":"additional","affiliation":[{"name":"California State University,Department of Computer Engineering and Computer Science,Long Beach,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11379-1_6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2485922.2485970"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2015.7056070"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465828"},{"key":"ref31","author":"sun","year":"2019","journal-title":"Supertml Two-dimensional word embedding for the precognition on structured tabular data"},{"key":"ref30","article-title":"Lxc: Linux container tools","author":"helsely","year":"2009","journal-title":"IBM developer Works Technical Library"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3073559"},{"key":"ref33","author":"brockman","year":"2016","journal-title":"OpenAI Gym"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS48704.2020.9184539"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011919"},{"key":"ref1","year":"0","journal-title":"Market analysis report"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IOLTS56730.2022.9897507"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715080"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/cryptography5040028"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3386263.3407586"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED51717.2021.9424330"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2382196.2382284"},{"key":"ref26","year":"0","journal-title":"Intel healthcare technology overview for developers"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD56317.2022.00042"},{"key":"ref20","year":"0","journal-title":"2021 SonicWall Cyber Threat Report"},{"key":"ref22","author":"mckeon","year":"2023","journal-title":"Outdated operating systems remain key medical device security challenge"},{"key":"ref21","article-title":"Telehealth take-up: the risks and opportunities","year":"2021","journal-title":"kaspersky Lab kasper-sky com Tech Rep"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3526241.3530326"},{"key":"ref27","author":"healthcare","year":"0","journal-title":"Healthcare technology for improved insights and out-comes"},{"key":"ref29","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715057"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICICSP.2018.8549713"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2607-0_1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2022.103332"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960412"},{"key":"ref6","author":"su","year":"2018","journal-title":"Lightweight Classification of IoT Malware based on Image Recognition"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916886"}],"event":{"name":"2023 24th International Symposium on Quality Electronic Design (ISQED)","location":"San Francisco, CA, USA","start":{"date-parts":[[2023,4,5]]},"end":{"date-parts":[[2023,4,7]]}},"container-title":["2023 24th International Symposium on Quality Electronic Design (ISQED)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10129281\/10129282\/10129348.pdf?arnumber=10129348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T17:55:17Z","timestamp":1686592517000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10129348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,5]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/isqed57927.2023.10129348","relation":{},"subject":[],"published":{"date-parts":[[2023,4,5]]}}}