MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079304 A) filed by Pragati Engineering College on June 27, 2026, for A System And Method For Deep Learning-Based Malware Detection And Autonomous Cyber Defense In Computing Systems.
Inventors include Mr. M. V. Rajesh; Mrs. N. V. S. Sowjanya; Kotipalli Ammani; Pidugu Siri; and Patta Raja Sairam.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT A System and Method for Deep Learning-Based Malware Detection and Autonomous Cyber Defense in Computing Systems A system and method for deep learning based malware detection and autonomous cyber defense in computing systems are disclosed. The system includes: a multi-dimensional telemetry acquisition module configured to acquire operational data at the software and hardware levels; a Behavioral DNA generation engine configured to generate dynamic behavioral profiles for executable entities; a neuro-symbolic malware intelligence engine configured to perform explainable threat analysis; and a malware evolution prediction module configured to predict prospective malware variants and attack strategies. The system further comprises a hardware- assisted threat validation module configured to validate identified threats by utilizing processor-level telemetry and secure execution mechanisms, an autonomous cyber defense orchestration engine configured to enforce adaptive mitigation actions, a dynamic cyber immune response generator configured to define protective policies, a federated threat intelligence learning network configured to share encrypted intelligence, a quantum-resilient threat repository configured to store threat artifacts, and a self-healing recovery module configured to recover trusted operational states. The invention provides protection in the area of cybersecurity against evolution in malware threats that is predictive, autonomous, explainable and resilient.
Disclaimer: Curated by HT Syndication.
