{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T18:07:27Z","timestamp":1769191647864,"version":"3.49.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100017945","name":"Jilin Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["20240101343JC"],"award-info":[{"award-number":["20240101343JC"]}],"id":[{"id":"10.13039\/100017945","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3563908","type":"journal-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T17:06:45Z","timestamp":1745514405000},"page":"73297-73318","source":"Crossref","is-referenced-by-count":3,"title":["ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1629-1581","authenticated-orcid":false,"given":"Shaoqiang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0118-4819","authenticated-orcid":false,"given":"Jiahui","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4569-0575","authenticated-orcid":false,"given":"Yizhe","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]},{"given":"Shutong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]},{"given":"Lei","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]},{"given":"Yinfei","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Changchun University, Changchun, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/icc45855.2022.9838780"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3029307"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3341105.3373868"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/globecom38437.2019.9013892"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2022.100470"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982544"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3077946"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s22041340"},{"key":"ref9","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15771-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3212412"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s21144736"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.4236\/wet.2018.94007"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2019.100198"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2690902"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3050038"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s20082364"},{"key":"ref19","first-page":"1","article-title":"Security and privacy vulnerabilities of in-car wireless networks: A tire pressure monitoring system case study","volume-title":"Proc. 19th USENIX Secur. Symp. (USENIX Secur.)","author":"Roufa"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1484-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/app9204396"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-5209-5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2956508"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2019.102419"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100134"},{"key":"ref26","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/jsan11010006"},{"key":"ref29","volume-title":"Road Vehicles\u2014Controller Area Network (CAN)","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.34117\/bjdv9n5-153"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref32","first-page":"1","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref34","article-title":"Network in network","author":"Lin","year":"2013","journal-title":"arXiv:1312.4400"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2018.8514157"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-2693-0_14"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/INMIC50486.2020.9318216"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref39","article-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","author":"Krishnamoorthi","year":"2018","journal-title":"arXiv:1806.08342"},{"key":"ref40","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"Molchanov","year":"2016","journal-title":"arXiv:1611.06440"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"issue":"4","key":"ref42","first-page":"2","article-title":"Apache Flink: Stream and batch processing in a single engine","volume":"38","author":"Carbone","year":"2015","journal-title":"Bull. Tech. Committee Data Eng."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s23084086"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-024-02401-2"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3437416"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/math10081267"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3592538.3594274"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2017.00017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72802-1_9"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3059881"},{"issue":"1","key":"ref51","first-page":"1","article-title":"Hybrid RNN-LSTM networks for enhanced intrusion detection in vehicle CAN systems","volume":"33","author":"Al-Aql","year":"2024","journal-title":"J. Electr. Syst."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2022.04.021"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3025685"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SEB4SDG60871.2024.10629842"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCR61006.2024.10532958"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/pr9050834"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10975752.pdf?arnumber=10975752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T17:58:42Z","timestamp":1746467922000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10975752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3563908","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}