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CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks.

, and . ICMLA, page 294-299. IEEE, (2022)

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Reverse Engineering Controller Area Network Messages Using Unsupervised Machine Learning., , , , and . IEEE Consumer Electron. Mag., 11 (1): 50-56 (2022)Vulnerability of Controller Area Network to Schedule-Based Attacks., , , , , and . RTSS, page 495-507. IEEE, (2021)Towards Mitigating Blackhole Attack in NDN-Enabled IoT., and . ICCE, page 1-6. IEEE, (2023)Survey of Automotive Controller Area Network Intrusion Detection Systems., , , and . IEEE Des. Test, 36 (6): 48-55 (2019)Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication., , , , , and . Future Gener. Comput. Syst., (February 2024)In-Vehicle Network Anomaly Detection Using Extreme Gradient Boosting Machine., , , and . MECO, page 1-6. IEEE, (2022)Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network., , , , , , and . AutoSec@CODASPY, page 25-30. ACM, (2019)Towards an Interactive Visualization Framework for IoT Device Data Flow., and . IEEE BigData, page 4175-4178. IEEE, (2019)Work in Progress: Schedulability Analysis of CAN and CAN FD Authentication., , , , , and . RTAS, page 349-352. IEEE, (2023)Work-in-Progress: Real-Time Modeling for Intrusion Detection in Automotive Controller Area Network., , , and . RTSS, page 161-164. IEEE Computer Society, (2018)