MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411027658 A) filed by Amity University, New Delhi, on April 3, 2024, for 'a system and method for malware detection using deep ensemble with transfer learning and method thereof.'
Inventor(s) include Amit Kumar Singh; and Swapnesh Taterh.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for malware detection using deep ensemble learning with transfer learning. The present invention integrates deep learning architectures, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), to extract high-level features from malware samples. Transfer learning enables the model to leverage pre-trained knowledge, facilitating rapid adaptation to emerging malware threats with minimal labelled data. An ensemble learning mechanism combines multiple predictive models to enhance detection accuracy while reducing false positives. Additionally, the system incorporates feature fusion techniques to provide a comprehensive analysis of malware characteristics. The invention offers a scalable, adaptive, and high-performance cyber security solution capable of identifying both known and zero-day malware threats, ensuring real-time protection against evolving cyber-attacks."
Disclaimer: Curated by HT Syndication.
