Automatically Detecting Voice Phishing: A Large Audio Model Approach
Abstract Voice phishing (vishing) attacks represent a growing threat in cybersecurity, with attackers increasingly using sophisticated audio manipulation techniques to deceive victims. This paper presents a novel approach to automatically detecting voice phishing attacks using large audio models. We develop a comprehensive framework that leverages advanced audio processing techniques and machine learning to identify malicious voice communications in real-time.
Jan 1, 2026