Intellectual Property India Publishes Patent Application for Intelligent Cyber Attack Prediction System For Digital Healthcare Platforms

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078744 A) filed by Dr. C. N. S. Vinoth Kumar; Dr. R. Naresh; Dr. Alagusundari Narayanan; Dr. G. V. Vidya Lakshmi; Dr. M. Mageshwari; Mrs. D. Soundaravalli; Dr. G. Prabakaran; Mrs. Y. Vasanthi; Dr. G. Arutperumjothi; and Dr. A. Chinnappa on June 25, 2026, for Intelligent Cyber Attack Prediction System For Digital Healthcare Platforms.

Inventors include Dr. C. N. S. Vinoth Kumar; Dr. R. Naresh; Dr. Alagusundari Narayanan; Dr. G. V. Vidya Lakshmi; Dr. M. Mageshwari; Mrs. D. Soundaravalli; Dr. G. Prabakaran; Mrs. Y. Vasanthi; Dr. G. Arutperumjothi; and Dr. A. Chinnappa.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: An Intelligent Cyber Attack Prediction System for Digital Healthcare Platforms is disclosed that relies on artificial intelligence, machine learning, behavioral analytics and threat intelligence to predict, detect and mitigate cyber attacks in a digital healthcare platform environment in advance. The system consists of various interconnected modules that function collaboratively, providing the security, privacy, and reliability of healthcare data and services. The architecture consists of three modules: (1) Digital Healthcare Environment Module to generate operational data from various sources like EHRs and medical IoT devices; (2) Data Acquisition Module to collect multi-source logs; and (3) Data Preprocessing and Feature Engineering Module to preprocess and structure the collected inputs. An AI Based Threat Analysis Engine detects anomalous activity based on machine learning models and behavioral analytics and sends the information to a Cyber Attack Prediction Module that predicts and identifies future attacks like ransomware and malware. A Risk Assessment Module assesses and ranks the level of threat, which is then supplemented by outside threat intelligence and updated configurations from a Model Repository Module. When detected, an Alert and Response Management Module alerts and activates automatic countermeasures and a centralized Security Dashboard and Visualization Module delivers real- time security posture visibility to administrators and analysts.

Disclaimer: Curated by HT Syndication.