MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079573 A) filed by Cmr Engineering College on June 29, 2026, for Machine Learning Driven Cybersecurity Threat Detection System For Real- Time Network Traffic Analysis.
Inventors include Dr. Kande Archana; Mr. A. Gopi; Mr. Md. Giasuddin; Mrs. B. Sri Priya; Mr. A. Lakshmi Narayana Reddy; Dr. Rajesh Tiwari; and Mr. Edla Laxman.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract A cybersecurity threat detection system is disclosed for use in a enterprise network or cloud network in which live traffic is captured at a gateway, switch mirror port, virtual appliance, or endpoint agent. 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 network packets, flow records, protocol headers, session timing values, endpoint telemetry, and gateway logs. The preprocessing module validates and normalizes received input records before the analysis engine performs real- time network threat 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 threat scores, alert records, traffic blocking instructions, quarantine commands, and dashboard events. The system stores an audit record linking source identity, validation state, decision value, and selected Fig. 1 Dated June 23, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
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