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
Automatic Extraction of Protected Health Information from Multilingual Hacker Communities
A multi-task relation learning approach for extracting protected health information from multilingual hacker communities.
Jan 1, 2026
A Domain-Adaptive Soft Prompting Framework for Multi-Type Bias Detection in News
A domain-adaptive soft prompting framework for multi-type bias detection in news content.
Jan 1, 2026
Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach
A computational design science approach for improving threat mitigation through cybersecurity risk management.
Jan 1, 2024
Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach
A deep transfer learning approach for creating proactive cyber threat intelligence using hacker exploit labels.
Jan 1, 2024
Mapping Exploit Code on Paste Sites to the MITRE ATT&CK Framework: A Multi-label Transformer Approach
A multi-label transformer approach for mapping exploit code to the MITRE ATT&CK framework.
Jan 1, 2023
Disrupting Ransomware Actors on the Bitcoin Blockchain: A Graph Embedding Approach
A graph embedding approach for disrupting ransomware actors on the Bitcoin blockchain.
Jan 1, 2023
Cyber Threat Intelligence Framework
Developed a comprehensive framework for automated cyber threat intelligence using large-scale text analytics and machine learning techniques.
Jan 1, 2023