Machine Learning for Anomaly Detection in Automotive Cyber-Physical Systems

Author:

Kukkala Vipin Kumar,Thiruloga Sooryaa Vignesh,Pasricha Sudeep

Publisher

Springer Nature Switzerland

Reference44 articles.

1. Kukkala, V.K., Bradley, T., Pasricha, S.: Priority-based multi-level monitoring of signal integrity in a distributed powertrain control system. In: Proceedings of IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling. IEEE (2015)

2. Kukkala, V.K., Bradley, T., Pasricha, S.: Uncertainty analysis and propagation for an auxiliary power module. In: Proceedings of IEEE Transportation Electrification Conference (TEC). IEEE (2017)

3. Kukkala, V.K., Pasricha, S., Bradley, T.: JAMS: Jitter-aware message scheduling for FlexRay automotive networks. In: Proceedings of IEEE/ACM International Symposium on Network-on-Chip (NOCS). IEEE (2017)

4. Kukkala, V.K., Pasricha, S., Bradley, T.: JAMS-SG: a framework for Jitter-aware message scheduling for time-triggered automotive networks. ACM Trans. Des. Autom. Electron. Syst. 24(6), 1–31 (2019)

5. Kukkala, V., Pasricha, S., Bradley, T.: SEDAN: security-aware design of time-critical automotive networks. IEEE Trans. Veh. Technol. 69(8), 9017–9030 (2020)

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1. Design and Implementation of Advanced Driver Assistance Systems;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

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