MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078788 A) filed by Emilin Shyni C; and Dr C Emilin Shyni on June 25, 2026, for Phishing 2.0: An Intelligent Ai-Driven System For Advanced Phishing Detection And Prevention.
Inventor includes Dr C Emilin Shyni.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to the field of cybersecurity and, more particularly, to an intelligent Artificial Intelligence (AI)-driven system for advanced phishing detection and prevention. The proposed system addresses the limitations of conventional phishing detection techniques by employing a multi-layered framework that integrates Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Explainable Artificial Intelligence (XAI) for real-time identification and mitigation of sophisticated phishing attacks. The system collects and analyzes data from multiple sources, including URLs, emails, web pages, domain attributes, user behavior patterns, and communication content. A feature extraction engine derives lexical, structural, semantic, behavioral, and contextual attributes, which are processed by an ensemble of AI models to classify phishing threats with high accuracy. The invention further incorporates adaptive learning mechanisms that continuously update detection models based on emerging attack patterns, thereby enhancing resilience against zero-day phishing attacks and AI-generated phishing content. An explainability module provides transparent and interpretable decision outputs, enabling users and security administrators to understand the rationale behind threat classifications. Upon detection of a phishing attempt, an autonomous response module initiates preventive actions such as user alerts, access blocking, domain blacklisting, and threat reporting. The system may be deployed in cloud, enterprise, mobile, browser-based, or edge-computing environments. The proposed invention improves phishing detection accuracy, reduces false positives, enhances user trust through explainable decisions, and provides proactive protection against evolving cyber threats. The invention is applicable to educational institutions, enterprises, financial organizations, government agencies, healthcare systems, and digital communication platforms requiring robust cybersecurity protection against advanced phishing attacks.
Disclaimer: Curated by HT Syndication.
