MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074772 A) filed by Vellore Institute Of Technology on June 17, 2026, for “a Secure Power Grid Monitoring System”.
Inventors include Dr. Nisha J S; Dr. Gopinath P; Dr. Veerapu Goutham; Dhimant Tewari; and Saanji Kohli.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a secure power grid monitoring system and method employing adaptive post-quantum cryptographic control within a message queuing telemetry transport (MQTT)-based communication architecture. The system comprises a plurality of distributed sensor nodes configured to acquire electrical measurement data, an MQTT message broker configured to receive the acquired data, and a dispersal hub configured to perform intelligent data processing. The dispersal hub incorporates a machine-learning forecasting model for generating predicted electrical measurement values and corresponding prediction-error values, an unsupervised anomaly detection model for identifying candidate anomalous data points, and a validation module configured to validate the candidate anomalous data points using dynamically generated threshold values derived from forecasting-performance metrics. Based on outputs of the anomaly detection and validation processes, the system classifies data into normal, warning, and critical states. A security enforcement module selectively applies standard communication security, intermediate security, or post-quantum cryptographic protection according to the classified state, thereby reducing computational overhead while maintaining quantum- resilient communication. Secured data is redistributed through MQTT topics associated with the classified states for priority-based downstream processing. The disclosed architecture integrates forecasting, anomaly detection, criticality classification, adaptive security enforcement, and MQTT-based data dissemination within a unified framework to provide scalable, low-latency, resource-efficient, and secure monitoring of power grid infrastructure. Fig 1 to 2.
Disclaimer: Curated by HT Syndication.
