MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641079474 A) filed by Prof. Jayaresmi J; Prof. Aswathy Devi T; Prof. Nishanth Augustine; Dr. Deepesh Edwin; Prof. Mohammed Shaffi J; Prof. Rensi Sam Mathew; and Dr. Suma Sekhar on June 28, 2026, for An Ai-Driven Adaptive Lightweight Encryption And Edge-Based Intrusion Detection System For Secure Iot Communication Networks.
Inventors include Prof. Jayaresmi J; Prof. Aswathy Devi T; Prof. Nishanth Augustine; Dr. Deepesh Edwin; Prof. Mohammed Shaffi J; Prof. Rensi Sam Mathew; and Dr. Suma Sekhar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to an AI-driven adaptive lightweight encryption and edge-based intrusion detection system for secure IoT communication networks. The system dynamically selects lightweight encryption based on operational parameters including battery level, network congestion, data sensitivity, and trust score. An edge-based artificial intelligence engine detects malicious activity in real time and automatically isolates compromised devices while updating encryption keys to restore secure communication. The invention improves cybersecurity, reduces computational overhead, minimizes communication latency, and enhances the energy efficiency and reliability of resource-constrained IoT devices.
Disclaimer: Curated by HT Syndication.
