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J-GLOBAL ID：202302264627376883   Reference number：23A0860230

Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks

電気自動車ネットワークのための深層移動学習ベースの侵入検知システム【JST・京大機械翻訳】

Author (4)： Mehedi Sk. Tanzir (Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh) ,  Anwar Adnan (Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong 3216, Australia) ,  Rahman Ziaur (Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh) ,  Ahmed Kawsar (Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh)
Material： Sensors (Web)
Volume： 21  Issue： 14  Page： 4736  Publication year： 2021 
JST Material Number： U7015A  ISSN： 1424-8220  CODEN： SENSC9  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The Controller Area Network (C...

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Thesaurus term： shock(mechanics) ,  *learning ,  learning model ,  *network ,  experiment ,  *electric automobile ,  benchmark ,  computer architecture ,  robustness ,  machine learning ,  cyberattack
Semi thesaurus term： データ集約 ,  *侵入検知システム ,  サイバーセキュリティ ,  深層学習 , 【Automatic Indexing@JST】

Author keywords (7)： electric vehicles ,  in-vehicle network ,  controller area network ,  cybersecurity ,  intrusion detection ,  deep learning ,  transfer learning

JST classification (4)： Artificial intelligence  (JE08000Z) ,  Numerical computation  (JE02000J) ,  Pattern recognition  (JE07000S) ,  Graphic and image processing in general  (JE04010I)

Reference (62)：

• Han, M.L.; IlKwak, B.; Kim, H.K. Anomaly intrusion detection method for vehicular networks based on survival analysis. Veh. Commun. 2018, 14, 52-63.
• Steger, M.; Boano, C.A.; Niedermayr, T.; Karner, M.; Hillebrand, J.; Roemer, K.; Rom, W.A. Efficient and Secure Automotive Wireless Software Update Framework. IEEE Trans. Ind. Inform. 2018, 14, 2181-2193.
• Zeng, W.; Mohammed, A.S.; Khalid, M.A.S.; Chowdhury, S. In-Vehicle Networks Outlook: Achievements and Challenges. IEEE Commun. Surv. Tutor. 2016, 18, 1552-1571.
• Mathur, R.; Saraswat, R.; Mathur, G. An Analytical Study of Communication Protocols Used in Automotive Industry. Int. J. Eng. Res. Technol. (IJERT) 2018, 2, 287-292.
• Kieu, T.; Yang, B.; Jensen, C.S. Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. In Proceedings of the 2018 19th IEEE International Conference on Mobile Data Management (MDM), Aalborg, Denmark, 25-28 June 2018; pp. 125-134.

Terms in the title (4)： 電気自動車 ,  深層 ,  学習 ,  侵入検知システム