MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611060004 A) filed by Graphic Era Hill University, Dehradun on May 12, 2026, for A System And Method For Ai-Integrated Usb Malware Detection Utilizing Embedded Architecture And Real-Time Static Feature Analysis.
Inventors include Divyansh Bisht; and Dr. Saumitra Chattopadhyay.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT A SYSTEM AND METHOD FOR AI-INTEGRATED USB MALWARE DETECTION UTILIZING EMBEDDED ARCHITECTURE AND REAL-TIME STATIC FEATURE ANALYSIS The invention relates to a USB malware detection system employing an embedded processing unit that operates independently and a USB interface for drive insertion detection. Upon detection, an auto-mount and recursive file enumeration module initiates the mounting process, while the feature extraction module computes static attributes such as file size, MIME type, entropy, and header properties. A memory unit stores a pre-trained AI/ML classification model for analysis, and visual display components including an OLED display and LED indicators provide real-time feedback on file classification. The power supply module connected via a USB Type-C interface ensures operational efficiency. This inventive system integrates hardware and AI-driven software to perform isolated, accurate USB malware detection, thereby offering enhanced security in embedded applications.
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