MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621068923 A) filed by Symbiosis International Deemed University on June 01, 2026, for Secure Smart Healthcare System Using Federated Learning And Lightweight Blockchain For Cyber Threat Detection.
Inventor includes Dr. Sagar Dhanraj Pande.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT SECURE SMART HEALTHCARE SYSTEM USING FEDERATED LEARNING AND LIGHTWEIGHT BLOCKCHAIN FOR CYBER THREAT DETECTION The present invention discloses a secure smart healthcare system (100) for privacy-preserving cyber threat detection in IoT based healthcare environments. The system (100) comprises IoT based healthcare devices (110) deployed across distributed healthcare nodes; a federated learning module (120) enabling collaborative model training without sharing raw patient data using Federated Averaging aggregation; a lightweight blockchain layer (130) with an AI-driven Proof-of-Authority consensus mechanism (132) for tamper-proof transaction validation; a Transformer-based anomaly detection model (140) for real-time detection of cyber threats including DDoS, DoS, Brute Force, Malware, MITM, and Reconnaissance attacks using self-attention mechanisms; and a Zero-Knowledge Proof authentication module (150) for secure verification without information disclosure. The system achieves 98.72 percent accuracy in cyber threat detection while preserving data privacy across distributed healthcare institutions. [
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