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Anomaly Detection of CAN Bus Messages Using a Deep Neural Network for Autonomous Vehicles

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4939-2468-4_10openalex-snapshot
A Survey of Security and Privacy in Connected Vehicles
inferredcites →https://doi.org/10.1007/978-3-319-24261-3_7openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-642-35755-8_23openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.specom.2017.11.003openalex-snapshot
Automatic lexical stress and pitch accent detection for L2 English speech using multi-distribution deep neural networks
inferredcites →https://doi.org/10.1016/j.vehcom.2017.02.005openalex-snapshot
Field classification, modeling and anomaly detection in unknown CAN bus networks
inferredcites →https://doi.org/10.1038/s41591-018-0268-3openalex-snapshot
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
inferredcites →https://doi.org/10.1109/ccdc.2018.8407286openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvpr.2016.149openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2016.581openalex-snapshot
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inferredcites →https://doi.org/10.1109/das.2018.18openalex-snapshot
Hand Written Characters Recognition via Deep Metric Learning
inferredcites →https://doi.org/10.1109/isias.2010.5604050openalex-snapshot
A structured approach to anomaly detection for in-vehicle networks
inferredcites →https://doi.org/10.1109/ivs.2011.5940552openalex-snapshot
Entropy-based anomaly detection for in-vehicle networks
inferredcites →https://doi.org/10.1109/ivs.2017.7995934openalex-snapshot
Anomaly detection of CAN bus messages through analysis of ID sequences
inferredcites →https://doi.org/10.1109/tii.2013.2239301openalex-snapshot
Efficient Protocols for Secure Broadcast in Controller Area Networks
inferredcites →https://doi.org/10.1109/tits.2014.2351612openalex-snapshot
A Practical Wireless Attack on the Connected Car and Security Protocol for In-Vehicle CAN
inferredcites →https://doi.org/10.1117/12.2311329openalex-snapshot
Deep learning-based classification and anomaly detection of side-channel signals
inferredcites →https://doi.org/10.1145/3056506openalex-snapshot
LiBrA-CAN
inferredcites →https://doi.org/10.1145/3064814.3064816openalex-snapshot
Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks
inferredcites →https://doi.org/10.1177/1744806918763658openalex-snapshot
A deep neural network to assess spontaneous pain from mouse facial expressions
inferredcites →https://doi.org/10.1371/journal.pone.0155781openalex-snapshot
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
inferredcites →https://doi.org/10.21437/interspeech.2017-1608openalex-snapshot
End-to-End Text-Independent Speaker Verification with Triplet Loss on Short Utterances
inferredcites →https://doi.org/10.48550/arxiv.1512.09272openalex-snapshot
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
inferredcites →https://doi.org/10.5446/38906openalex-snapshot
Adventures in Automotive Networks and Control Units

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-57024-8_19openalex-snapshot
Applied Machine Learning to Vehicle Security
inferred← citeshttps://doi.org/10.1007/978-3-030-71381-2_4openalex-snapshot
Vehicle Network Security Metrics
inferred← citeshttps://doi.org/10.1007/978-3-030-95918-0_2openalex-snapshot
Intrusion Detection for CAN Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-33743-7_40openalex-snapshot
Vehicle Controller Area Network Inspection Using Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-72322-3_8openalex-snapshot
CAN-Based Identification of Human and Autonomous Driving Modes in Level 3 Autonomous Vehicles
inferred← citeshttps://doi.org/10.1007/978-3-031-73344-4_48openalex-snapshot
Temporal Logic-Based Intrusion Detection for Securing Connected Vehicles
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Design of Intelligent Framework for Intrusion Detection Platform for Internet of Vehicles
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inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.101945openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnlssr.2023.12.004openalex-snapshot
Unsupervised intrusion detection system for in-vehicle communication networks
inferred← citeshttps://doi.org/10.1016/j.vehcom.2021.100442openalex-snapshot
GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus
inferred← citeshttps://doi.org/10.1049/icp.2021.1441openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651224openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isc253183.2021.9562830openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2021.3098221openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mce.2021.3116923openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00293openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tdsc.2022.3182481openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tits.2024.3478371openalex-snapshot
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