{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T22:32:39Z","timestamp":1781735559373,"version":"3.54.5"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Korean Government [Ministry of Science and ICT (MSIT)]","award":["NRF-2021R1A2C2011082"],"award-info":[{"award-number":["NRF-2021R1A2C2011082"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3323891","type":"journal-article","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T17:49:06Z","timestamp":1697046546000},"page":"112814-112829","source":"Crossref","is-referenced-by-count":18,"title":["A Deep Learning-Based IDS for Automotive Theft Detection for In-Vehicle CAN Bus"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7211-4646","authenticated-orcid":false,"given":"Junaid Ahmad","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Information and Communication Engineering, Dongguk University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4661-7044","authenticated-orcid":false,"given":"Dae-Woon","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Dongguk University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4114-4935","authenticated-orcid":false,"given":"Young-Sik","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s19061356"},{"key":"ref57","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2016.7906929"},{"key":"ref56","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105571"},{"key":"ref59","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv 1312 4400"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3369412.3395069"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08010-9_33"},{"key":"ref52","author":"khan","year":"2020","journal-title":"Automotive Cyber Security Challenges A Beginner&#x2019;s Guide"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.05.003"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/328236.328110"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2017.01.18"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3286611"},{"key":"ref16","article-title":"This car is mine! Automobile theft countermeasure leveraging driver identification with generative adversarial networks","author":"park","year":"2019","journal-title":"arXiv 1911 09870"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s20185030"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2019.8778416"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.04.014"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814069"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107322"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3412353"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966230"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/en11020412"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500376"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3245146"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2022.128410"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3050733"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s23073554"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE.2017.7889391"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2020.2993522"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/info13110518"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2022.3230097"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3129348"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3123472"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/OJIM.2023.3303944"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3309542"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3304358"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3305273"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2736948"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/su13031342"},{"key":"ref33","article-title":"A hierarchy of limitations in machine learning","author":"malik","year":"2020","journal-title":"arXiv 2002 05193"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117568"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2321342"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s18041212"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-14253-5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1201\/9781351003827"},{"key":"ref70","article-title":"Characterizing driving styles with deep learning","author":"dong","year":"2016","journal-title":"arXiv 1607 03611"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2924906"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1860-1"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.5204\/thesis.eprints.134144","article-title":"Driver stress level detection based on multimodal measurements","author":"rastgoo","year":"2019"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920489"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0018720819856454"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1052"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2870826"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/DSMP47368.2020.9204059"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-1610"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3225782"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/s19225026"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.12.050"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1168\/2\/022022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167470"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3245122"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500533"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.104037"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00043"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2972059"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10278416.pdf?arnumber=10278416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:41:51Z","timestamp":1699299711000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10278416\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3323891","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}