{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T04:23:33Z","timestamp":1744777413744,"version":"3.40.4"},"publisher-location":"Cham","reference-count":5,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031877773","type":"print"},{"value":"9783031877780","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-87778-0_1","type":"book-chapter","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T16:21:51Z","timestamp":1744734111000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards a\u00a0Lightweight Deep Learning IDS for\u00a0CAN in\u00a0Vehicles"],"prefix":"10.1007","author":[{"given":"Bahaa Eddine","family":"Ajaj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natasha","family":"Alkhatib","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rami","family":"Khoder","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,16]]},"reference":[{"key":"1_CR1","unstructured":"CAN Intrusion Dataset. https:\/\/ocslab.hksecurity.net\/Datasets\/CAN-intrusion-dataset"},{"key":"1_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.103777","volume":"140","author":"B Lampe","year":"2024","unstructured":"Lampe, B., Meng, W.: Can-train-and-test: a curated CAN dataset for automotive intrusion detection. Comput. Secur. 140, 103777 (2024)","journal-title":"Comput. Secur."},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Alkhatib, N., et al.: Unsupervised network intrusion detection system for AVTP in automotive Ethernet networks. In: 2022 IEEE Intelligent Vehicles Symposium (IV). IEEE (2022)","DOI":"10.1109\/IV51971.2022.9827285"},{"issue":"2","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1109\/TNSE.2021.3059881","volume":"8","author":"AR Javed","year":"2021","unstructured":"Javed, A.R., et al.: CANintelliIDS: detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU. IEEE Trans. Netw. Sci. Eng. 8(2), 1456\u20131466 (2021)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Duong, C.N., et al.: MobiFace: a lightweight deep learning face recognition on mobile devices. In: 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS). IEEE (2019)","DOI":"10.1109\/BTAS46853.2019.9185981"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87778-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T16:21:56Z","timestamp":1744734116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87778-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877773","9783031877780"],"references-count":5,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87778-0_1","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"16 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}