Intellectual Property India Publishes Patent Application for Machine Learning-Based Real-Time Threat Detection And Adaptive Security Framework For Cloud Storage Applications

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641094117 A) filed by Dr. S. Mathumohan; M Siva Ganesh; K. Aparna Preethi; S. Valli Mayil; G. Hemavathi; V. Mareeskannan; A. Renisna; Suganya Subathra R; R Kaviya; M Saranya; and M Ramya Devi on August 04, 2026, for Machine Learning-Based Real-Time Threat Detection And Adaptive Security Framework For Cloud Storage Applications.

Inventors include Dr. S. Mathumohan; M Siva Ganesh; K. Aparna Preethi; S. Valli Mayil; G. Hemavathi; V. Mareeskannan; A. Renisna; Suganya Subathra R; R Kaviya; M Saranya; and M Ramya Devi.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: The present invention discloses the development of a machine learning-based (ML) framework for real-time threat detection and dynamic security system that is designed exclusively for distributed cloud storage systems. The system uses advanced deep learning-based anomaly detection techniques to detect any sort of threat by monitoring user behavior, data access patterns, and network traffic. Once the threat is detected, the system automatically adapts itself by modifying security policies and cryptography-based access control mechanisms. Experiments conducted on the proposed model revealed that the model has very high accuracy and false positive rate is minimal while the latency is negligible. FIG.1

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