MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050008 A) filed by Ms. R. Padma Priya; Dr. Sanjith S; and Dr. J James Alaguraja, Vadakankulam, Tamil Nadu, on April 20, for 'a system and method for machine learning-based intrusion detection and adaptive response against cloud infrastructure attacks.'
Inventor(s) include Ms. R. Padma Priya; Dr. Sanjith S; and Dr. J James Alaguraja.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for machine learning-based intrusion detection and adaptive response against attacks in cloud computing environments. The invention comprises a telemetry acquisition layer configured to collect security-relevant data from cloud resources including compute instances, containerized workloads, virtual networks, identity services, storage systems, and orchestration components. The collected telemetry is normalized and contextually enriched to generate a unified event representation. A feature generation engine derives behavioral, temporal, statistical, and relational features from the unified event representation. A hybrid intrusion detection engine processes the generated features using supervised machine learning, anomaly detection, and sequence correlation techniques to identify known and previously unseen attack patterns. A threat scoring module generates an intrusion confidence value, and an adaptive response orchestration module initiates mitigation actions including workload isolation, privilege restriction, token revocation, network control modification, and forensic evidence generation. The invention thereby improves real-time detection, contextual analysis, and containment of cloud infrastructure attacks."
Disclaimer: Curated by HT Syndication.
