MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079374 A) filed by Cmr Engineering College on June 27, 2026, for Machine Learning Based Intrusion Detection System For Software Defined Networks.
Inventors include Dr. Praveen Chouksey; Mr. Edla Laxman; Ms. K. Sandhya Rani; Mrs. M. Sabitha; Mrs. Maddigatla Chandana; Mr. R. Sridhar; and Mr. Ch. Aravindh.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract A software-defined-network intrusion detection system is disclosed for use in a software-defined network having programmable switches controlled by a network controller. The system comprises a processor, memory, a communication interface, an input acquisition module, a preprocessing module, an analysis engine, and an output control module. The communication interface receives SDN flow table entries, controller messages, switch statistics, packet-in events, topology data, and traffic feature vectors. The preprocessing module validates and normalizes received input records before the analysis engine performs SDN intrusion detection using stored rules, profiles, policies, model parameters, or reference records. The output control module compares a generated decision value with a stored threshold or policy condition and generates intrusion alerts, flow-blocking rules, controller policy updates, and event logs. The system stores an audit record linking source identity, validation state, decision value, and selected output action. The arrangement provides a controlled technical data path from input capture Fig. 1 Dated June 23, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
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