{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T17:12:44Z","timestamp":1780506764628,"version":"3.54.1"},"reference-count":9,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["62173026"],"award-info":[{"award-number":["62173026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s11036-025-02476-3","type":"journal-article","created":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T09:11:14Z","timestamp":1764407474000},"page":"547-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A New Time-Series Anomaly Detection Model for Connected Autonomous Vehicles Based on Multi-scale Wavelet Transformer Network"],"prefix":"10.1007","volume":"30","author":[{"given":"Jian","family":"Yin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenjiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianjun","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,29]]},"reference":[{"issue":"3","key":"2476_CR1","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1109\/TITS.2019.2906038","volume":"21","author":"F van Wyk","year":"2020","unstructured":"van Wyk F, Wang Y, Khojandi A, Masoud N (2020) Real-time sensor anomaly detection and identification in automated vehicles. IEEE Trans Intell Transp Syst 21(3):1264\u20131276. https:\/\/doi.org\/10.1109\/TITS.2019.2906038","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2476_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3380263","author":"F Khanmohammadi","year":"2024","unstructured":"Khanmohammadi F, Azmi R (2024) Time-series anomaly detection in automated ve-hicles using D-CNN-LSTM autoencoder. IEEE Trans Intell Transp Syst. https:\/\/doi.org\/10.1109\/TITS.2024.3380263","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"12","key":"2476_CR3","doi-asserted-by":"publisher","first-page":"25469","DOI":"10.1109\/TITS.2021.3105834","volume":"23","author":"I Khan","year":"2022","unstructured":"Khan I, Moustafa N, Pi D, Haider W, Li B, Jolfaei A (2022) An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles. IEEE Trans Intell Transp Syst 23(12):25469\u201325478","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"7","key":"2476_CR4","doi-asserted-by":"publisher","first-page":"4291","DOI":"10.1109\/TITS.2020.3025875","volume":"22","author":"AR Javed","year":"2021","unstructured":"Javed AR, Usman M, Rehman SU, Khan MU, Haghighi MS (2021) Anomaly detection in automated vehicles using multistage attention-based convolutional neural network. IEEE Trans Intell Transp Syst 22(7):4291\u20134300. https:\/\/doi.org\/10.1109\/TITS.2020.3025875","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"2","key":"2476_CR5","doi-asserted-by":"publisher","first-page":"2122","DOI":"10.1109\/TITS.2021.3128634","volume":"24","author":"X Duan","year":"2023","unstructured":"Duan X, Yan H, Tian D, Zhou J, Su J, Hao W (2023) In-Vehicle CAN Bus Tampering Attacks Detection for Connected and Autonomous Vehicles Using an Improved Isolation Forest Method. IEEE Trans Intell Transp Syst 24(2):2122\u20132134. https:\/\/doi.org\/10.1109\/TITS.2021.3128634","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2476_CR6","doi-asserted-by":"publisher","unstructured":"Raturi R, Kumar A, Vyas N, Dutt V (2023) A Novel Approach for Anomaly Detection in Time-Series Data using Generative Adversarial Networks,\" 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 1352\u20131357, https:\/\/doi.org\/10.1109\/ICSCSS57650.2023.10169365.","DOI":"10.1109\/ICSCSS57650.2023.10169365"},{"key":"2476_CR7","doi-asserted-by":"crossref","unstructured":"Moradi M et al. (2024) Sensor and Decision Fusion-Based Intrusion Detection and Mitigation Approach for Connected Autonomous Vehicles,\" in IEEE Sensors Journal. 24(13):20908\u201320919.","DOI":"10.1109\/JSEN.2024.3397966"},{"issue":"12","key":"2476_CR8","doi-asserted-by":"publisher","first-page":"15687","DOI":"10.1109\/TITS.2022.3202869","volume":"24","author":"S Almutlaq","year":"2023","unstructured":"Almutlaq S, Derhab A, Hassan M, Kaur K (2023) Two stage intrusion detection system in intelligent transportation systems using rule extraction methods from deep neural networks. IEEE Trans Intell Transp Syst 24(12):15687\u201315701","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"6","key":"2476_CR9","first-page":"446","volume":"4","author":"L Dhanabal","year":"2015","unstructured":"Dhanabal L, Shantharajah S (2015) A study on NSL-KDD dataset for intrusion detection system based on classification algorithms. Int J Adv Res Comput Commun Eng 4(6):446\u2013452","journal-title":"Int J Adv Res Comput Commun Eng"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-025-02476-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-025-02476-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-025-02476-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T09:54:03Z","timestamp":1773309243000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-025-02476-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":9,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["2476"],"URL":"https:\/\/doi.org\/10.1007\/s11036-025-02476-3","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"value":"1383-469X","type":"print"},{"value":"1572-8153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"14 October 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}