关键词: 新型电信网络诈骗, 深度伪造, 多模态检测, 轻量级检测, AI鉴伪、预警与认证

Abstract: In recent years, with the rapid iterative development of information technology, tactics of telecom and cyber fraud have continued to evolve and upgrade. Fraudsters increasingly utilize generative artificial intelligence (AI) technologies such as deepfakes to fabricate or tamper with specific identity information with high fidelity, and carry out targeted telecom and cyber fraud on this basis. This issue has gradually become a prominent challenge in the prevention and governance of telecom and cyber fraud. To address these risks and problems, this research innovatively constructs a comprehensive multimodal deepfake detection system, which can identify AI-generated images, AI voice replacement, and AI face swapping. Meanwhile, an end-side lightweight multimodal detection SDK is also developed. The proposed system can be widely applied to a variety of business scenarios, including multimedia messages covering text, images, audio, video and virtual scenarios, 5G new calls, video conferences, and trusted identity authentication. It aims to provide flexible, efficient and accurate AI authenticity verification, early warning and authentication framework and capability for all industries.

Key words: new-type telecom and cyber fraud, deepfake, multimodal detection, lightweight detection, AI authenticity verification, early warning and authentication