Intellectual Property India Publishes Patent Application for 'Federated Deep Learning-based Intrusion Detection System For Secure Agriculture Supply Chain Networks' Filed by Sri Krishna College Of Engineering And Technology; and Sri Krishna Arts And Science College

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017659 A) filed by Sri Krishna College Of Engineering And Technology; and Sri Krishna Arts And Science College, Coimbatore, Tamil Nadu, on Feb. 17, for 'federated deep learning-based intrusion detection system for secure agriculture supply chain networks.'

Inventor(s) include Ms P. Deepa; and Dr S Dhanalakshmi.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a federated deep learning-based intrusion detection system for securing agriculture supply chain networks. The system comprises distributed agriculture supply chain nodes (100) including farm sensors (110), storage monitoring units (120), and transport systems (130), each configured to perform local data preprocessing and intrusion detection model training. Encrypted model updates generated at the nodes are transmitted to a federated aggregation server (170), which aggregates the updates to form a global intrusion detection model (180) without accessing raw network traffic data. The global model is redistributed to the nodes and cooperates with an intrusion detection and alert module (190) to provide real-time detection of cyber-attacks, anomaly identification, and threat alerts (192, 194). The invention ensures data privacy, scalability, and adaptive learning, thereby enhancing cyber security across digitally enabled agriculture supply chains."

Disclaimer: Curated by HT Syndication.