MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611026835 A) filed by Dr. Kaushal Kumar; Ms. Seema Rani; Mr. Nitesh Kaushik; Ms. Sweta; Dr. Mala Kumari; Ms. Neerja; Ms. Priyanka; Miss. Padma Tulshiram Kadhao; Madhur Raj Verma; Ms. Sharanya Chandran; Mr. Pradeep; and Mr. Anil Kumar Gupta on March 07, 2026, for A Federated Learning–based Industrial Malware Detection And Collaborative Cyber Threat Mitigation System.
Inventors include Dr. Kaushal Kumar; Ms. Seema Rani; Mr. Nitesh Kaushik; Ms. Sweta; Dr. Mala Kumari; Ms. Neerja; Ms. Priyanka; Miss. Padma Tulshiram Kadhao; Madhur Raj Verma; Ms. Sharanya Chandran; Mr. Pradeep; and Mr. Anil Kumar Gupta.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a federated learning based industrial malware detection and collaborative cyber threat mitigation system designed to enhance cybersecurity in industrial environments. The system comprises monitoring agents for collecting security- related data from industrial devices, local machine learning modules for training malware detection models, and a federated learning aggregation module for combining model updates from multiple nodes without sharing raw data. A threat detection module identifies malicious activities, while a cyber threat mitigation module coordinates automated response actions such as device isolation and network protection. By enabling privacy-preserving collaborative learning across industrial organizations, the invention improves malware detection accuracy and strengthens cyber resilience in critical industrial infrastructures.
Disclaimer: Curated by HT Syndication.
