MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063487 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 19, for 'a streaming analytics framework for anomaly detection in internet of things data streams.'
Inventor(s) include Aayush Hemant Singh; Aakash Gurumurthi; Vedant Patel; and Dr. G. N. Vivekananda.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a streaming analytics framework and method for adaptive anomaly detection in Internet of Things (IoT) data streams are disclosed. The framework includes a data ingestion layer, a preprocessing module, a drift monitoring module configured to compute a drift probability score, and a forecasting module for predicting drift-related metrics. A model adaptation module dynamically switches between machine learning models based on drift conditions to maintain detection accuracy. The framework further incorporates a federated learning module for decentralized training with differential privacy, ensuring that raw data remains local to edge devices. The method includes steps of data ingestion, preprocessing, drift monitoring and forecasting, adaptive model selection, privacy-preserving federated training, and real-time output of anomaly detection results, thereby enabling proactive, scalable, and secure anomaly detection in dynamic IoT environments."
Disclaimer: Curated by HT Syndication.
