MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123376 A) filed by Ms. O. Vasanthakumari; Ms. M. Revathi; Ms. M. Sivasakthi; and S. A. Engineering College, Chennai, Tamil Nadu, on Dec. 8, 2025, for 'malware detection using machine learning.'
Inventor(s) include Ms. O. Vasanthakumari; Ms. M. Revathi; and Ms. M. Sivasakthi.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Malware has become a major threat to computer systems, mobile devices, and cloud infrastructures. Traditional signature-based antivirus systems fail to detect newly emerging malware variants due to code obfuscation, polymorphism, and rapidly evolving attack patterns. This paper proposes a machinelearning-based approach for detecting malware using static and dynamic analysis features. The model extracts relevant attributes such as opcode frequency, PE header information, API call patterns, system call behavior, and network activity, and uses classifiers including Random Forest, Support Vector Machines, and Convolutional Neural Networks for accurate prediction. The proposed system improves zero-day malware detection and reduces false positives, offering a scalable and automated solution for modern cybersecurity environments."
Disclaimer: Curated by HT Syndication.
