MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123014 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 5, 2025, for 'machine learning-enhanced intrusion detection system for blackhole attacks in iot-based rpl networks.'
Inventor(s) include Dr. Rajkumar S; Dr. Rajasekar V R; Mr. Achyuthan Sivasankar; Mr. Atchayavenkatesh R; and Mr. Tamizhmani V.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a machine learning-enhanced intrusion detection method (100) for detecting blackhole attacks in IoT-based RPL networks. The method (100) includes collecting network traffic data from IoT devices operating in an RPL network topology (102), extracting network features from the collected network traffic data (106) where the network features include packet forwarding behavior metrics, training machine learning models on the extracted network features to distinguish between normal network behavior and blackhole attack patterns (116, 118), monitoring network traffic in real-time using the trained machine learning models (120), and detecting blackhole attacks based on the real-time monitoring (120). The system incorporates a data collection module, a feature extraction module, a machine learning module, a monitoring module, and a detection module that work together to identify malicious network behavior patterns characteristic of blackhole attacks in resource-constrained IoT environments."
Disclaimer: Curated by HT Syndication.
