MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079578 A) filed by Cmr Engineering College on June 29, 2026, for Deep Learning Based Malware Detection System For Endpoint Security Management.
Inventors include Dr. A. Srinivasula Reddy; Mr. A. Lakshmi Narayana Reddy; Mrs. Chinnam Madhuri; Mr. M Raja; Ms. K. Sandhya Rani; Mr. S Sai Bhushanam; and Ms. M. Prashanthi.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract A endpoint malware detection system is disclosed for use in a endpoint security environment including workstations, servers, or mobile computing devices. 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 executable files, file metadata, process behaviour events, registry changes, memory indicators, and endpoint telemetry. The preprocessing module validates and normalizes received input records before the analysis engine performs endpoint malware 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 malware detections, quarantine instructions, scan reports, policy updates, and administrator alerts. 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 to Fig. 1 Dated June 23, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
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