MUMBAI, India, Nov. 13 -- Intellectual Property India has published a patent application (202641129527 A) filed by Kalasalingam Academy Of Research And Education on October 30, 2026, for Multimodal Evidence-Fusion Framework For Automated Malware Classification, Risk Assessment And Explainable Digital Forensic Analysis.
Inventors include Tubati Venkata Mohan Sai Ram; Poluru Vivek; Thummala Kumar Reddy; Mekapothula Jagadeesh; Dr. K. Venkatesh; and Dr. N. Subbulakshmi.
The application for the patent was published on November 13, 2026, under issue no. 46/2026.
Abstract: The present invention relates to a computer-implemented framework for automated malware classification and digital forensic analysis using heterogeneous digital evidence. A digital evidence input module (1) receives file, memory and network 10 evidence, and an evidence identification module (2) identifies the evidence type. An analysis pipeline selection module (3) directs the evidence to a corresponding sourcespecific analysis module (4), and a forensic feature extraction module (5) extracts relevant characteristics. A feature normalization and fusion module (6) combines normalized features into a unified representation processed by an artificial intelligence 15 and machine-learning engine (7). A confidence and risk assessment module (8) generates a confidence value and risk level, while an explainable analysis module (9) identifies contributing forensic observations. An investigation output module (10) presents the classification, confidence, risk assessment and supporting explanation within an integrated digital forensic investigation workflow.
Disclaimer: Curated by HT Syndication.
