• Corpus ID: 231698402

Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy

@article{Chathoth2021FederatedID,
  title={Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy},
  author={Ajesh Koyatan Chathoth and Abhyuday N. Jagannatha and Stephen Lee},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.09878}
}
Internet of Things (IoT) devices are becoming increasingly popular and are influencing many application domains such as healthcare and transportation. These devices are used for real-world applications such as sensor monitoring, real-time control. In this work, we look at differentially private (DP) neural network (NN) based network intrusion detection systems (NIDS) to detect intrusion attacks on networks of such IoT devices. Existing NN training solutions in this domain either ignore privacy… 

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