MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611107691 A) filed by Bala Khanna; Dr. Lakhimi Gogoi; Dr. Kawerinder Sidhu; Mr. Rinku Raheja; Mrs. Mukta Purkayastha; and Bhanupriya on September 05, 2026, for Automated Fraud Detection Framework For Digital Financial Transactions.
Inventors include Bala Khanna; Dr. Lakhimi Gogoi; Dr. Kawerinder Sidhu; Mr. Rinku Raheja; Mrs. Mukta Purkayastha; and Bhanupriya.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention discloses an automated fraud detection framework (100) for digital financial transactions comprising a data acquisition module (110), a data preprocessing and feature engineering module (120), a behavioural profiling module (130), an ensemble machine learning classifier module (140) integrating supervised, unsupervised, and deep learning sub-modules, a risk scoring engine (150), an adaptive rule engine (160) that dynamically generates and updates detection rules from emerging fraud patterns, a decision and alert module (170) that issues approval, step-up authentication, or block instructions to originating payment channels, a feedback and continuous learning module (180) that retrains the classifiers using confirmed fraud outcomes through a canary deployment strategy, and a secure database and communication interface (190). The framework delivers adaptive, low-latency, and continuously improving detection of fraudulent digital financial transactions across multiple payment channels. [Figure 1]
Disclaimer: Curated by HT Syndication.
