MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056198 A) filed by Meerut Institute Of Engineering & Technology, Meerut; Deepanshu Bhargav; Krishna Sharma; Mohd Zaid; Shreya Jain; and Aqib Akhtar Zia on May 03, 2026, for A Unified Modular Machine Learning System For Multi Channel Spam Phishing And Financial Fraud Detection.
Inventors include Deepanshu Bhargav; Krishna Sharma; Mohd Zaid; Shreya Jain; and Aqib Akhtar Zia.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a unified fraud detection system capable of identifying spam, phishing, and financial fraud across multiple digital communication and transaction channels. The system integrates independent yet interconnected modules for email analysis, URL verification, QR code decoding, and financial transaction monitoring within a single web-based architecture. Each module employs domain-specific machine learning models including Logistic Regression, Random Forest, and XGBoost, operating on structured and unstructured data inputs. Feature engineering techniques such as TF-IDF vectorization, behavioral pattern extraction, and lexical URL analysis are utilized for accurate classification. The system supports real-time data processing through API-driven communication between frontend and backend layers. Experimental validation demonstrates high accuracy and reliability across modules. The modular design enables scalability, adaptability, and centralized monitoring, thereby providing a comprehensive solution for detecting diverse fraud vectors in modern digital ecosystems.
Disclaimer: Curated by HT Syndication.
