MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641109009 A) filed by Mlr Institute Of Technology; and Marri Laxman Reddy Institute Of Technology And Management on September 10, 2026, for Safeinbox: Ai-Driven Email Spam Detection With Secure Access.
Inventors include Mrs. D. Rajeshwari; Mr. B. Pavan; Mr. B. Rithwik; and Mr. B. Ramcharan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The Current invention is associated with Email Fraud Detection System, developed using Python, is designed to intelligently identify, analyze, and prevent fraudulent or deceptive emails by combining advanced machine learning techniques with user-specific behavioral analysis. The system goes beyond traditional rule-based filtering by leveraging powerful Python libraries and frameworks for data processing, pattern recognition, and predictive modeling, enabling it to detect potential threats with high accuracy and efficiency. It continuously monitors incoming emails, extracting key features such as sender details, content patterns, embedded links, and metadata, and compares them against updated threat intelligence and previously learned patterns. A significant aspect of this system is its ability to build and adapt to individual user risk profiles by analyzing email usage behavior, historical threat exposure, and account characteristics, allowing it to personalize detection mechanisms for each user. This adaptive approach helps in identifying even subtle anomalies that generic systems might miss. Once an email is analyzed, the system classifies it based on risk levels and provides actionable recommendations, such as avoiding suspicious links, verifying sender authenticity, or reporting the message, thereby empowering users to make informed decisions. Additionally, the system enhances cybersecurity awareness by learning from new threats and continuously improving its detection capabilities over time. With flexible deployment options including both command-line and desktop interfaces, Passly ensures accessibility for a wide range of users, from individuals to organizations. Overall, this Python-based solution offers a robust, scalable, and user-centric approach to combating phishing, spoofing, and other email-based cyber threats, significantly improving digital safety and reducing the risk of fraud. 4 Claims & 1 Figure.
Disclaimer: Curated by HT Syndication.
