{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:48:47Z","timestamp":1778345327399,"version":"3.51.4"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"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":[[2021,4]]},"DOI":"10.1109\/vtc2021-spring51267.2021.9449086","type":"proceedings-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T20:27:03Z","timestamp":1623788823000},"page":"1-6","source":"Crossref","is-referenced-by-count":18,"title":["Anomaly Detection using IoT Sensor-Assisted ConvLSTM Models for Connected Vehicles"],"prefix":"10.1109","author":[{"given":"Ahmed","family":"Zekry","sequence":"first","affiliation":[{"name":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Sayed","sequence":"additional","affiliation":[{"name":"University of Calgary,Department of Geomatics Engineering,Calgary,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Moussa","sequence":"additional","affiliation":[{"name":"University of Calgary,Department of Geomatics Engineering,Calgary,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Elhabiby","sequence":"additional","affiliation":[{"name":"Ain Shams University,Faculty of Engineering,Public Works Department,Cairo,Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","article-title":"Embedded Hybrid Anomaly Detection for Automotive CAN Communication","author":"weber","year":"2018","journal-title":"9th European Congress on Embedded Real Time Software and Systems (ERTS 2018)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2010.5652467"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886457"},{"key":"ref6","first-page":"23","article-title":"Anomaly detection in recordings from in-vehicle networks","author":"theissler","year":"2014","journal-title":"Big Data Applications"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2500853.2500858"},{"key":"ref8","article-title":"Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles","author":"dasgupta","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2906038"},{"key":"ref2","article-title":"Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems","author":"bahavan","year":"2020"},{"key":"ref9","article-title":"DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems","author":"abdelaty","year":"2020"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s18113800"}],"event":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","location":"Helsinki, Finland","start":{"date-parts":[[2021,4,25]]},"end":{"date-parts":[[2021,4,28]]}},"container-title":["2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9448628\/9448629\/09449086.pdf?arnumber=9449086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:38:18Z","timestamp":1659483498000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9449086\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/vtc2021-spring51267.2021.9449086","relation":{},"subject":[],"published":{"date-parts":[[2021,4]]}}}