Black Hat USA 2025 | If Google Uses It to Find Webpages, We Can Use It to Find Fraudsters

If Google Uses It to Find Webpages, We Can Use It to Find Fraudsters: TF-IDF for Real-Time Fraud Detection Fraud detection has traditionally relied on supervised learning, rule-based heuristics, and anomaly detection. However, these methods struggle against adaptive fraud schemes, emerging attack vectors, and low-frequency fraud patterns. This talk presents a novel, real-time fraud detection technique leveraging Term Frequency-Inverse Document Frequency (TF-IDF) as a similarity measure to link fraudulent entities. Originally developed for Natural Language Processing (NLP), TF-IDF can be repurposed for fraud detection by treating transaction metadata, device identifiers, and behavioral signals as a "corpus." This approach uncovers hidden relationships between fraudulent activities, enabling a hybrid detection model that enhances real-time fraud identification beyond traditional heuristics or anomaly-based methods. Through real-world case studies in financial services, e-commerce, and identity verification, we demonstrate how this method identifies unknown fraud patterns before they escalate into large-scale fraud rings. We will cover mathematical formulations, implementation steps, and a comparative performance evaluation against conventional supervised fraud models. Additionally, we will discuss potential evasion tactics and mitigation strategies to strengthen resilience. Join us as we explore cutting-edge strategies in fraud detection and cybersecurity. With deep expertise in fraud prevention, identity security, and risk management, we will share actionable insights on leveraging TF-IDF and advanced machine learning for real-time fraud detection. Attendees will learn how combining text-based feature extraction with behavioral biometrics and device intelligence enhances detection accuracy and mitigates sophisticated fraud threats. This session provides practical knowledge on applying these innovations to stay ahead of evolving fraud tactics and improve overall security posture. By: David Mahdi | CIO, Transmit Security Ido Rozen | Head of Fraud Detection Engineering, Transmit Security Full Session Details Available at: https://ift.tt/D8gw3od

source https://www.youtube.com/watch?v=WVHxCedkYSg