{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:35:19Z","timestamp":1776443719653,"version":"3.51.2"},"update-to":[{"DOI":"10.32604\/cmc.2024.053037","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T00:00:00Z","timestamp":1723680000000}}],"reference-count":78,"publisher":"Tech Science Press","issue":"2","license":[{"start":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T00:00:00Z","timestamp":1723680000000},"content-version":"vor","delay-in-days":227,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":["www.techscience.com"],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.053037","type":"journal-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T08:47:17Z","timestamp":1721897237000},"page":"2785-2813","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":10,"title":["Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review"],"prefix":"10.32604","volume":"80","author":[{"given":"Wufei","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javad Hassannataj","family":"Joloudari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Senthil Kumar","family":"Jagatheesaperumal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kandala N. V. P. S.","family":"Rajesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Gaftandzhieva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadiq","family":"Hussain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahimullah","family":"Rabih","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Najibullah","family":"Haqjoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mobeen","family":"Nazar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamed","family":"Vahdat-Nejad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rositsa","family":"Doneva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","series-title":"2020 Workshop on Emerg. Technol. Secur. in IoT (ETSecIoT)","first-page":"22","article-title":"IoT threat detection advances, challenges and future directions","author":"Karie","year":"2020"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1109\/MCE.2021.3137790","article-title":"AI-based intrusion detection for intelligence internet of vehicles","volume":"12","author":"Man","year":"2021","journal-title":"IEEE Consum. Electron. Mag."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1016\/j.ins.2021.08.010","article-title":"Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning","volume":"579","author":"Jin","year":"2021","journal-title":"Inf. Sci."},{"key":"ref4","series-title":"2022 Int. Wireless Commun. Mobile Comput. (IWCMC)","first-page":"342","article-title":"Transfer learning-driven intrusion detection for Internet of Vehicles (IoV)","author":"Otoum","year":"2022"},{"key":"ref5","unstructured":"M. Jeihani et al., \u201cInvestigating the effect of Connected Vehicles (CV) route guidance on mobility and equity,\u201d 2023. Accessed: Jan. 25, 2024 [Online]. Available: https:\/\/rosap.ntl.bts.gov\/view\/dot\/60931"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.1109\/TNSE.2020.2990984","article-title":"Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method","volume":"7","author":"Nie","year":"2020","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref7","doi-asserted-by":"crossref","first-page":"3623","DOI":"10.1109\/TITS.2018.2878253","article-title":"Stop-and-Wait: Discover aggregation effect based on private car trajectory data","volume":"20","author":"Wang","year":"2018","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1109\/TNSE.2019.2936466","article-title":"Data-driven edge intelligence for robust network anomaly detection","volume":"7","author":"Xu","year":"2019","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"105667","DOI":"10.1016\/j.cnsns.2020.105667","article-title":"Designing continuous delay feedback control for lattice hydrodynamic model under cyber-attacks and connected vehicle environment","volume":"95","author":"Zhai","year":"2021","journal-title":"Commun. Nonlinear Sci. Numer. Simul."},{"key":"ref10","first-page":"100470","article-title":"Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots","volume":"35","author":"Desta","year":"2022","journal-title":"Veh. Commun."},{"key":"ref11","series-title":"ICC 2022-IEEE Int. Conf. Commun.","first-page":"2774","article-title":"A transfer learning and optimized CNN based intrusion detection system for internet of vehicles","author":"Yang","year":"2022"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"3424819","DOI":"10.1155\/2022\/3424819","article-title":"Distributed deep CNN-LSTM model for intrusion detection method in IoT-based vehicles","volume":"2022","author":"Alferaidi","year":"2022","journal-title":"Math. Probl. Eng."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1109\/TITS.2022.3188671","article-title":"An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks","volume":"24","author":"Oseni","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1109\/TNSE.2021.3059881","article-title":"CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU","volume":"8","author":"Javed","year":"2021","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"3491","DOI":"10.1109\/ACCESS.2017.2782159","article-title":"Cloud-based cyber-physical intrusion detection for vehicles using deep learning","volume":"6","author":"Loukas","year":"2017","journal-title":"IEEE Access"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"2180","DOI":"10.3390\/electronics11142180","article-title":"Using deep learning networks to identify cyber attacks on intrusion detection for in-vehicle networks","volume":"11","author":"Lin","year":"2022","journal-title":"Electronics"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"119771","DOI":"10.1016\/j.eswa.2023.119771","article-title":"A survey of deep learning-based intrusion detection in automotive applications","volume":"221","author":"Lampe","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"ref18","doi-asserted-by":"crossref","first-page":"127997","DOI":"10.1016\/j.conbuildmat.2022.127997","article-title":"Deep transfer learning-based vehicle classification by asphalt pavement vibration","volume":"342","author":"Liu","year":"2022","journal-title":"Constr. Build. Mater."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"4736","DOI":"10.3390\/s21144736","article-title":"Deep transfer learning based intrusion detection system for electric vehicular networks","volume":"21","author":"Mehedi","year":"2021","journal-title":"Sensors"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"360","DOI":"10.3390\/s22010360","article-title":"Attacks to automatous vehicles: A deep learning algorithm for cybersecurity","volume":"22","author":"Aldhyani","year":"2022","journal-title":"Sensors"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1340","DOI":"10.3390\/s22041340","article-title":"HDL-IDS: A hybrid deep learning architecture for intrusion detection in the Internet of Vehicles","volume":"22","author":"Ullah","year":"2022","journal-title":"Sensors"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"63967","DOI":"10.1109\/ACCESS.2018.2870955","article-title":"SSDS: A smart software-defined security mechanism for vehicle-to-grid using transfer learning","volume":"6","author":"Wang","year":"2018","journal-title":"IEEE Access"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"310","DOI":"10.3390\/sym14020310","article-title":"TCAN-IDS: Intrusion detection system for internet of vehicle using temporal convolutional attention network","volume":"14","author":"Cheng","year":"2022","journal-title":"Symmetry"},{"key":"ref24","author":"Foreman","year":"2021","journal-title":"FHWA research and technology evaluation TechBrief: Truck platooning"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"65760","DOI":"10.1109\/ACCESS.2022.3183605","article-title":"A review on VANET research: Perspective of recent emerging technologies","volume":"10","author":"Mahi","year":"2022","journal-title":"IEEE Access"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"117593","DOI":"10.1109\/ACCESS.2020.3004779","article-title":"A survey of 5G technology evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles","volume":"8","author":"Storck","year":"2020","journal-title":"IEEE Access"},{"key":"ref27","first-page":"3422","article-title":"Reliability model and sensitivity analysis for electrical\/electronic\/programmable electronic safety-related systems","volume":"56","author":"Torres","year":"2020","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref28","doi-asserted-by":"crossref","first-page":"138018","DOI":"10.1109\/ACCESS.2019.2943207","article-title":"LiDAR data integrity verification for autonomous vehicle","volume":"7","author":"Changalvala","year":"2019","journal-title":"IEEE Access"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"207308","DOI":"10.1109\/ACCESS.2020.3037705","article-title":"Attacks on self-driving cars and their countermeasures: A survey","volume":"8","author":"Chowdhury","year":"2020","journal-title":"IEEE Access"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1201\/9781003155799-10","author":"Wu","year":"2022","journal-title":"Cybersecurity and High-Performance Computing Environments"},{"key":"ref31","article-title":"In-vehicle false information attack detection and mitigation framework using machine learning and software defined networking","author":"Khan","year":"2019","journal-title":"arXiv preprint arXiv:1906.10203"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"11514","DOI":"10.1109\/TITS.2023.3288192","article-title":"Resilient countermeasures against Cyber-Attacks on Self-Driving car architecture","volume":"24","author":"Qurashi","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref33","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/MWC.001.2000428","article-title":"Artificial intelligence (AI)-empowered intrusion detection architecture for the internet of vehicles","volume":"28","author":"Alladi","year":"2021","journal-title":"IEEE Wirel. Commun."},{"key":"ref34","series-title":"2018 IEEE 4th Int. Conf. Collaborat. and Int. Comput. (CIC)","first-page":"438","article-title":"A multilayer perceptron-based distributed intrusion detection system for Internet of Vehicles","author":"Anzer","year":"2018"},{"key":"ref35","first-page":"1","article-title":"Deep learning-based network traffic prediction for secure backbone networks in internet of vehicles","volume":"22","author":"Wang","year":"2022","journal-title":"ACM Trans. Internet Technol."},{"key":"ref36","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/MCE.2021.3139170","article-title":"Deep learning-based intrusion detection system for internet of vehicles","volume":"12","author":"Ahmed","year":"2021","journal-title":"IEEE Consum. Electron. Mag."},{"key":"ref37","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1109\/JIOT.2021.3084796","article-title":"MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles","volume":"9","author":"Yang","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref38","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.ins.2020.05.130","article-title":"Transfer learning based intrusion detection scheme for Internet of Vehicles","volume":"547","author":"Li","year":"2021","journal-title":"Inf. Sci."},{"key":"ref39","series-title":"GLOBECOM, 2022-2022 IEEE Global Commun. Conf.","first-page":"3545","article-title":"LCCDE: A decision-based ensemble framework for intrusion detection in the Internet of Vehicles","author":"Yang","year":"2022"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"22571","DOI":"10.1109\/TITS.2021.3102581","article-title":"P2SF-IoV: A privacy-preservation-based secured framework for Internet of Vehicles","volume":"23","author":"Kumar","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"101974","DOI":"10.1016\/j.adhoc.2019.101974","article-title":"Intrusion detection system using deep learning for in-vehicle security","volume":"95","author":"Zhang","year":"2019","journal-title":"Ad Hoc Netw."},{"key":"ref42","article-title":"Comparative study of HDL algorithms for intrusion detection system in Internet of Vehicles","volume":"2022","author":"Botla","year":"2022","journal-title":"Crypt. EPrint Archive"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"79","DOI":"10.4236\/wet.2018.94007","article-title":"Classification approach for intrusion detection in vehicle systems","volume":"9","author":"Alshammari","year":"2018","journal-title":"Wirel. Eng. Technol."},{"key":"ref44","series-title":"2019 IEEE Global Commun. Conf. (GLOBECOM)","first-page":"1","article-title":"Tree-based intelligent intrusion detection system in internet of vehicles","author":"Yang","year":"2019"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1109\/TNSM.2020.3014929","article-title":"Multi-stage optimized machine learning framework for network intrusion detection","volume":"18","author":"Injadat","year":"2020","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"ref46","series-title":"2021 IEEE Global Commun. Conf. (GLOBECOM)","first-page":"1","article-title":"All predict wisest decides: A novel ensemble method to detect intrusive traffic in iot networks","author":"Chen","year":"2021"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.future.2019.09.038","article-title":"A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications","volume":"104","author":"Garg","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref48","doi-asserted-by":"crossref","first-page":"100013","DOI":"10.1016\/j.array.2019.100013","article-title":"A novel intrusion detection system against spoofing attacks in connected electric vehicles","volume":"5","author":"Kosmanos","year":"2020","journal-title":"Array"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"4991","DOI":"10.1109\/JIOT.2020.3035035","article-title":"A machine-learning-based data-centric misbehavior detection model for internet of vehicles","volume":"8","author":"Sharma","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref50","doi-asserted-by":"crossref","first-page":"3658","DOI":"10.3390\/electronics11223658","article-title":"Federated AI-enabled in-vehicle network intrusion detection for internet of vehicles","volume":"11","author":"Yang","year":"2022","journal-title":"Electronics"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.3390\/math10122030","article-title":"Vehicular-network-intrusion detection based on a mosaic-coded convolutional neural network","volume":"10","author":"Hu","year":"2022","journal-title":"Mathematics"},{"key":"ref52","first-page":"100338","article-title":"Convolutional neural network-based intrusion detection system for AVTP streams in automotive Ethernet-based networks","volume":"29","author":"Jeong","year":"2021","journal-title":"Veh. Commun."},{"key":"ref53","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.comcom.2022.12.010","article-title":"A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework","volume":"199","author":"Kasongo","year":"2023","journal-title":"Comput. Commun."},{"key":"ref54","article-title":"Analysis of anomalous behavior in network systems using deep reinforcement learning with CNN architecture","author":"Modirrousta","year":"2022","journal-title":"arXiv preprint arXiv:2211.16304"},{"key":"ref55","first-page":"102899","article-title":"A novel wide & deep transfer learning stacked GRU framework for network intrusion detection","volume":"61","author":"Singh","year":"2021","journal-title":"J. Inf. Secur. Appl."},{"key":"ref56","first-page":"1059","article-title":"Accelerating the update of a DL-based IDS for IoT using deep transfer learning","volume":"23","author":"Idrissi","year":"2021","journal-title":"Indones. J. Electr. Eng. Comput. Sci."},{"key":"ref57","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1109\/TII.2022.3164770","article-title":"Dependable intrusion detection system for IoT: A deep transfer learning based approach","volume":"19","author":"Mehedi","year":"2022","journal-title":"IEEE Trans. Industr. Inform."},{"key":"ref58","doi-asserted-by":"crossref","first-page":"5621","DOI":"10.3390\/s22155621","article-title":"Transfer-learning-based intrusion detection framework in IoT networks","volume":"22","author":"Rodr\u00edguez","year":"2022","journal-title":"Sensors"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"100446","DOI":"10.1016\/j.simpa.2022.100446","article-title":"IDS-ML: An open source code for intrusion detection system development using machine learning","volume":"14","author":"Yang","year":"2022","journal-title":"Softw. Impacts"},{"key":"ref60","first-page":"183","article-title":"An artificial intelligence approach for enhancing trust between social IoT devices in a network","volume":"846","author":"Kumar","journal-title":"Toward Soc. Internet of Things (SIoT): Enabl. Technol., Architect. and Appl.: Emerg. Technol. Connect. Smart Social Objects"},{"key":"ref61","series-title":"Proc. 12th INDIACom; INDIACom-2018; 5th Int. Conf. Comput. Sustain. Global Develop. IEEE Conf.","first-page":"1","article-title":"Internet of vehicles (IoV) requirements, attacks and countermeasures","author":"Samad","year":"2018"},{"key":"ref62","series-title":"First Int. Conf. Secure Cyber Comput. Commun. (ICSCCC)","first-page":"203","article-title":"Security challenges in Internet of Vehicles (IoV) environment","author":"Sharma","year":"2018"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"9532","DOI":"10.1002\/int.23012","article-title":"STC-IDS: Spatial-temporal correlation feature analyzing based intrusion detection system for intelligent connected vehicles","volume":"37","author":"Cheng","year":"2022","journal-title":"Int. J. Intell. Syst."},{"key":"ref64","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1109\/TITS.2019.2908074","article-title":"A survey of intrusion detection for in-vehicle networks","volume":"21","author":"Wu","year":"2019","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref65","doi-asserted-by":"crossref","first-page":"103777","DOI":"10.1016\/j.cose.2024.103777","article-title":"Can-train-and-test: A curated CAN dataset for automotive intrusion detection","volume":"140","author":"Lampe","year":"2024","journal-title":"Comput. Secur."},{"key":"ref66","doi-asserted-by":"crossref","first-page":"13089","DOI":"10.1007\/s11071-023-08508-5","article-title":"Integrating cyber-attacks on the continuous delay effect in coupled map car-following model under connected vehicles environment","volume":"111","author":"Peng","year":"2023","journal-title":"Nonlinear Dyn."},{"key":"ref67","first-page":"1","article-title":"Integrating the safety control against cyber-attacks on the global information in coupled map car-following model under connected vehicles platoon environment","author":"Peng","year":"2024","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref68","doi-asserted-by":"crossref","first-page":"45233","DOI":"10.1109\/ACCESS.2018.2865169","article-title":"Sliding window optimized information entropy analysis method for intrusion detection on in-vehicle networks","volume":"6","author":"Wu","year":"2018","journal-title":"IEEE Access"},{"key":"ref69","series-title":"GLOBECOM, 2023-2023 IEEE Global Commun. Conf.","first-page":"6717","article-title":"MIDS: A new vehicle intrusion detection system based on multiple features","author":"Jin","year":"2023"},{"key":"ref70","first-page":"957","article-title":"Design and implementation of autonomous path planning for intelligent vehicle","volume":"22","author":"Wei","year":"2021","journal-title":"J. Int. Technol."},{"key":"ref71","doi-asserted-by":"crossref","first-page":"161","DOI":"10.5755\/j01.itc.49.1.24113","article-title":"Dynamic scheduling algorithm for delay-sensitive vehicular safety applications in cellular network","volume":"49","author":"Wu","year":"2020","journal-title":"Inf. Technol. Control"},{"key":"ref72","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.3390\/smartcities6050109","article-title":"Harnessing the potential of the metaverse and artificial intelligence for the internet of city things: Cost-effective XReality and synergistic AIoT technologies","volume":"6","author":"Bibri","year":"2023","journal-title":"Smart Cities"},{"key":"ref73","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s43762-024-00120-6","article-title":"Artificial intelligence of things for smart cities: Advanced solutions for enhancing transportation safety","volume":"4","author":"Jagatheesaperumal","year":"2024","journal-title":"Comput. Urban Sci."},{"key":"ref74","first-page":"16","article-title":"Free-fall: Hacking tesla from wireless to can bus","volume":"25","author":"Nie","year":"2017","journal-title":"Briefing Black Hat. USA"},{"key":"ref75","doi-asserted-by":"crossref","first-page":"494","DOI":"10.3390\/electronics11030494","article-title":"Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)","volume":"11","author":"Ali","year":"2022","journal-title":"Electronics"},{"key":"ref76","doi-asserted-by":"crossref","first-page":"284","DOI":"10.5755\/j01.itc.50.2.27780","article-title":"Congestion-preventing routing and charging scheduling mechanism for electric vehicles in dense urban areas","volume":"50","author":"Huang","year":"2021","journal-title":"Inf. Technol. Control"},{"key":"ref77","series-title":"2018 16th Annual Conf. Privacy, Secur. and Trust (PST)","first-page":"1","article-title":"GIDS: GAN based intrusion detection system for in-vehicle network","author":"Seo","year":"2018"},{"key":"ref78","series-title":"15th Annual Conf. Priv., Secur. and Trust (PST)","first-page":"5709","article-title":"OTIDS: A novel intrusion detection system for in-vehicle network by using remote frame","author":"Lee","year":"2017"}],"updated-by":[{"DOI":"10.32604\/cmc.2024.053037","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T00:00:00Z","timestamp":1723680000000}}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/uploads\/attached\/file\/20240815\/20240815154259_82962.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T12:22:38Z","timestamp":1741263758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n2\/57633"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":78,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.053037","relation":{"correction":[{"id-type":"doi","id":"10.32604\/cmc.2024.053037","asserted-by":"object"}]},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}