VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems
Published in ACM Transactions on Cyber-Physical Systems, 2025
This paper is the extension of the ICDCS paper on generative adversarial networks (GAN)-based efficient and adversarially robust MBDS for V2X.
Recommended citation: Shahriar, M. H., Ansari, M. R., Monteuuis, J.-P., Haque, M. S., Chen, C., Petit, J., Hou, Y. T., & Lou, W. (2025). VehiGAN: Generative adversarial networks for adversarially robust V2X misbehavior detection systems. ACM Transactions on Cyber-Physical Systems (ACM TCPS), Just Accepted. https://doi.org/10.1145/3745787
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