{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T23:21:27Z","timestamp":1768519287610,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"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":[[2023,10,30]]},"DOI":"10.1109\/milcom58377.2023.10356373","type":"proceedings-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T19:37:01Z","timestamp":1703533021000},"page":"649-654","source":"Crossref","is-referenced-by-count":4,"title":["Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks"],"prefix":"10.1109","author":[{"given":"Sohan","family":"Gyawali","sequence":"first","affiliation":[{"name":"East Carolina University,Department of Technology Systems,NC,USA"}]},{"given":"Kamran","family":"Sartipi","sequence":"additional","affiliation":[{"name":"East Carolina University,Department of Computer Science,NC,USA"}]},{"given":"Benjamin","family":"Van Ravesteyn","sequence":"additional","affiliation":[{"name":"East Carolina University,Department of Technology Systems,NC,USA"}]},{"given":"Jiaqi","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Central Missouri,Department of Computer Science and Cybersecurity,MO,USA"}]},{"given":"Yili","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Mississippi,Department of Computer and Information Science,MS,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2935189"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2019.2953740"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2022-Fall57202.2022.10012976"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9797941"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10000959"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCS58109.2023.10261135"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2996620"},{"key":"ref8","article-title":"Modeling tabular data using conditional gan","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Xu","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3105834"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149384"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3041184"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2022.3188750"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3188671"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3211346"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3031892"},{"key":"ref19","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning","volume":"70","author":"Arjovsky"},{"key":"ref20","first-page":"5769","article-title":"Improved training of wasserstein gans","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Gulrajani"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v036.i11"},{"key":"ref22","article-title":"BorutaShap : A wrapper feature selection method which combines the Boruta feature selection algorithm with Shapley values","author":"Keany","year":"2020"},{"key":"ref23","article-title":"Learning important features through propagating activation differences","volume-title":"International Conference on Machine Learning","author":"Shrikumar"}],"event":{"name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","location":"Boston, MA, USA","start":{"date-parts":[[2023,10,30]]},"end":{"date-parts":[[2023,11,3]]}},"container-title":["MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10356123\/10356124\/10356373.pdf?arnumber=10356373","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T20:43:33Z","timestamp":1705092213000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10356373\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/milcom58377.2023.10356373","relation":{},"subject":[],"published":{"date-parts":[[2023,10,30]]}}}