MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202611007749 A) filed by Swami Vivekananda Subharti University, Meerut, Uttar Pradesh, on Jan. 27, for 'a method and a system for generating a digital hygiene score using a multi-layer, ai-driven mobile cybersecurity architecture.'
Inventor(s) include Dr. Naveen Chandra; and Dr. Shashiraj Teotia.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a multi-layer, AI-driven Digital Hygiene Scoring System for mobile devices that enables real-time behavioural monitoring, anomaly detection, and predictive cybersecurity assessment while preserving user privacy. The system captures application behaviours, permission usage patterns, system events, and network interactions, and pre-processes them to derive cybersecurity-relevant features such as drift signatures, anomaly vectors, entropy indices, and divergence metrics. A trained machine learning classifier evaluates these features to categorize device behaviour into normal, suspicious, or high-risk threat states. A digital safety twin simulates alternate behavioural pathways and counterfactual threat scenarios to enhance predictive accuracy. Federated learning mechanisms enable continuous model refinement without transmitting raw data. Based on classification outcomes, the system generates context-aware alerts and dynamically updates the user's digital hygiene score."
Disclaimer: Curated by HT Syndication.
