MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202611062319 A) filed by Anuj Kumar Dwivedi on May 16, 2026, for A Secure Machine Learning-Based Task Scheduling Framework For Iot-Enabled Smart City Systems.
Inventors include Anuj Kumar Dwivedi; Dr. Sanjeev Kumar Prasad; Mani Dwivedi; Mr. Lucknesh Kumar; Dr. Avjeet Singh; Dr. Aditya Pratap Singh; Mr. Krishna Murari; Mr. Shiv Shankar; Mr. Sumit Malik; and Ms. Nishu Gupta.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to a secure machine learning based task scheduling framework for smart city systems enabled by IoT. The proposed framework is based on clustering of LHK-Means, fuzzy anomaly detection of L2-Norm and intelligent scheduling of BN-CNN for better security, effective resource usage and computational efficiency. The framework defines malicious task requests, prioritize the legitimate tasks, and dynamically allocate resources in cloud & edge computing. In the large-scale IoT deployment, the invention delivers an improvement in the delay, amount of overhead in the packet, energy consumption and throughput performance, and scheduling efficiency.
Disclaimer: Curated by HT Syndication.
