Intellectual Property India Publishes Patent Application for 'A Hybrid Deep Learning Model For Online Fraud Detection In E-Commerce' Filed by Easwari Engineering College; and Srm Institute Of Science And Technology

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017327 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology, Chennai, Tamil Nadu, on Feb. 17, for 'a hybrid deep learning model for online fraud detection in e-commerce.'

Inventor(s) include Thasintaj K; and Mrs. J. Lydia Pancy.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "A hybrid deep learning-based fraud detection system for e-commerce transactions is disclosed by the invention, which combines ensemble classifiers like Random Forest and XGBoost with CNN, LSTM, and Transformer models. To identify and stop online fraud, it uses real-time risk scoring, federated learning, and feature engineering. The system ensures high accuracy, privacy, and adherence to international data protection standards by offering adaptive model retraining, secure cloud storage, and instant alerts."

Disclaimer: Curated by HT Syndication.