{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:06:45Z","timestamp":1778717205566,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Commonwealth Cyber Initiative, and investment in the advancement of cyber research and development innovation, and workforce development"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tcad.2023.3290128","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T17:36:45Z","timestamp":1687887405000},"page":"4618-4628","source":"Crossref","is-referenced-by-count":3,"title":["Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9974-1348","authenticated-orcid":false,"given":"Sreenitha","family":"Kasarapu","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanket","family":"Shukla","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4417-2387","authenticated-orcid":false,"given":"Sai Manoj","family":"Pudukotai Dinakarrao","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICITACEE.2014.7065704"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.56726\/irjmets33205"},{"key":"ref3","volume-title":"Number of malware attacks per year 2020","author":"Johnson","year":"2022"},{"key":"ref4","article-title":"Malware statistics trends REPORT: AV-TEST","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401254"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2016.7428064"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-015-0261-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.14"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2016904.2016908"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3526241.3530825"},{"key":"ref11","first-page":"74","article-title":"Camouflage in malware: From encryption to metamorphism","volume-title":"Proc. IJCSNS","author":"Rad"},{"issue":"4","key":"ref12","doi-asserted-by":"crossref","first-page":"28","DOI":"10.3390\/cryptography5040028","article-title":"Towards accurate run-time hardware-assisted stealthy malware detection: A lightweight, yet effective time series CNN-based approach","volume":"5","author":"Sayadi","year":"2021","journal-title":"Cryptography"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00076"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/DATE51398.2021.9474036"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-44599-1_11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1504\/IJESDF.2007.016865"},{"key":"ref18","first-page":"559","article-title":"On the feasibility of Online malware detection with performance counters","volume-title":"Proc. ISCA","author":"John"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI49217.2020.00-15"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978358"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2017.8203803"},{"key":"ref22","first-page":"1429","article-title":"VRASED: A verified hardware\/software co-design for remote attestation","volume-title":"Proc. 28th USENIX Security Symp. (USENIX Security)","author":"Nunes"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3013075"},{"key":"ref24","article-title":"Parallelization of deep networks","volume-title":"Proc. ESANN","author":"De Grazia"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2640087.2644155"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3377454"},{"key":"ref27","article-title":"A linear algebraic approach to model parallelism in deep learning","author":"Hewett","year":"2020","journal-title":"arXiv:2006.03108"},{"key":"ref28","article-title":"Megatron-LM: Training multi-billion parameter language models using GPU model parallelism","author":"Shoeybi","year":"2019","journal-title":"arxiv:1909.08053"},{"key":"ref29","article-title":"Maximizing parallelism in distributed training for huge neural networks","author":"Bian","year":"2021","journal-title":"arXiv:2105.14450"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MetroCAD56305.2022.00007"},{"key":"ref31","article-title":"Compressing sensor data for remote assistance of autonomous vehicles using deep generative models","author":"Bogdoll","year":"2021","journal-title":"arXiv:2111.03201"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206441"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628742"},{"key":"ref34","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586330"},{"key":"ref36","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proc. Int. conf. Mach. Learn.","author":"Santoro"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-018-0323-0"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3322795.3331463"},{"key":"ref39","first-page":"1232","article-title":"Large scale distributed deep networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Dean"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2008.09.002"},{"key":"ref41","first-page":"2121","article-title":"Adaptive Subgradient methods for Online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref42","volume-title":"Virustotal package","year":"2021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062202"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IOLTS52814.2021.9486701"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00251"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/43\/10325328\/10164284.pdf?arnumber=10164284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T02:30:24Z","timestamp":1710383424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10164284\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":45,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2023.3290128","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}