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Intrusion Detection System for In-vehicle Networks with Inc..:

, In: 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta),

Lin, Jiaying ; Wei, Yehua ; Jiang, Haoran. - p. 2026-2031 , 2022

Link: https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-Dig..

RT 
T1 <cTitle>2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)</cTitle>: T1 <Title>Intrusion Detection System for In-vehicle Networks with Incremental Learning Based on Cloud-Edge Collaborative Architecture*</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10189669&Exemplar=1&LAN=DE
				
A1 Lin, Jiaying
A1 Wei, Yehua
A1 Jiang, Haoran
A1 Long, Jing
YR 2022
K1 Connected vehicles
K1 Image edge detection
K1 Computational modeling
K1 Intrusion detection
K1 Collaboration
K1 Computer architecture
K1 Data models
K1 in-vehicle network
K1 intrusion detection
K1 incremental learning
SP 2026
OP 2031
LK http://dx.doi.org/https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00293
DO https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00293
SF ELIB - SuUB Bremen

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