MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074336 A) filed by Priyadarshini Institute Of Science And Technology For Women An Autonomous Institution on June 16, 2026, for Hybrid Large Language Model And Blockchain-Based System For Predictive Cybersecurity Risk Assessment In Iot Networks.
Inventors include Dr. Maddineni Venkateswarlu; Mr. Ashok Pulusu; and Mr. Vangala Naga Raju.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A hybrid, decentralized system and method for predictive cybersecurity risk assessment within Internet of Things (IoT) networks utilizing a combined Large Language Model (LLM) and blockchain architecture. The system comprises a plurality of IoT edge devices communicating data to a decentralized blockchain network utilizing a secure consensus mechanism. A specialized LLM infrastructure is integrated with the blockchain ledger to ingest both real-time network telemetry and historical immutable threat logs. The LLM is configured to perform contextual natural language processing and predictive analytics to forecast potential vulnerability vectors and zero-day threat capabilities across the network. Smart contracts deployed on the blockchain automatically execute proactive mitigation protocols based on risk thresholds determined by the LLM. The immutable nature of the blockchain ensures tamper-proof logging of AI-driven risk assessments, providing a transparent, verifiable audit trail for network security orchestr
Disclaimer: Curated by HT Syndication.
