Intellectual Property India Publishes Patent Application for 'A System And Method For Federated Edge-Based Threat Intelligence With Differential Privacy In Native-AI 6g Core Networks' Filed by Dr. Sundresan Perumal; Kumutha. D; and Dr. R. Dhivya

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511118123 A) filed by Dr. Sundresan Perumal; Kumutha. D; and Dr. R. Dhivya, Nilai, Malaysia, on Nov. 27, 2025, for 'a system and method for federated edge-based threat intelligence with differential privacy in native-ai 6g core networks.'

Inventor(s) include Dr. Sundresan Perumal; Kumutha. D; and Dr. R. Dhivya.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The invention discloses a federated, privacy-preserving threat intelligence system designed for native-AI 6G core networks, wherein distributed edge nodes locally detect anomalies using hybrid deep-learning models and generate differentially-private gradient updates without transmitting raw traffic data. These privacy-preserved updates are securely communicated via quantum-safe protocols to a core aggregation server that performs federated averaging, malicious gradient filtering, and reinforcement-learning-based optimization to produce an adaptive global threat classifier. The refined threat intelligence is redistributed to edge nodes for real-time mitigation, enabling continuous, collaborative, and privacy-secured cybersecurity across large-scale 6G environments while ensuring strong protection of sensitive user and network metadata."

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