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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Rahul Nayak

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2 papers indexed here

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Open access Oct 2026

Byzantine-resilient federated edge intrusion detection for heterogeneous IoT networks under non-IID conditions

Intrusion detection at the edge of the Internet of Things (IoT) runs into two problems at the same time. Traffic is not identically distributed across devices, because a camera, a thermostat and a gateway do not behave alike, and some of the participating nodes cannot be trusted to report honestly. Federated learning f...

Rahul Nayak, G. N. Reddy · 0 citations
Conference Aug 2026

Hybrid Federated Learning for Privacy-Preserving Intrusion Detection in Heterogeneous Network Environments

Centralized deep-learning intrusion detection systems (IDS) are accurate, but they scale badly and require raw traffic to be collected on one server, which creates privacy and communication problems. Federated learning (FL) avoids moving the data: clients train a shared model and exchange only updates. Its weakness is...

Rahul Nayak, Sanikommu Vasavi, S. Mohanty et al. · 0 citations

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