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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

D. P.

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Open access Oct 2026

GraphINR-IDS: Graph-Topology-Aware implicit neural reconstruction for zero-day intrusion detection in encrypted network traffic

Payload encryption has shifted network intrusion detection towards flow-metadata analysis, yet most metadata-based detectors represent traffic through fixed feature windows, token sequences or periodic graph snapshots, discretising traffic before learning and binding the detector to a granularity selected in advance. G...

D. P., H. A. · 0 citations
#explainable ai Open access Sep 2026

Privacy-preserving intrusion detection in mobile edge networks via federated adaptive probabilistic stacking with clan–flock optimisation and explainable AI

Mobile edge networks require intrusion detection systems (IDS) that are private, accurate and interpretable. We present FedAPS–CFO, a federated IDS coupling four mechanisms: prediction-level federated averaging (FedAvg), so raw traffic never leaves the edge; an Adaptive Probabilistic Stacking (APS) ensemble fusing a st...

Joshitha N., D. P., Helen Sharmila A. · 0 citations

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