September 2026

Federated Learning (FL) inherently preserves privacy but remains highly vulnerable to backdoor attacks due to its open participation architecture. Existing defenses face two fundamental limitations: f

Multimodal biometric recognition integrates complementary information from different modalities and significantly improves recognition accuracy and system security compared with unimodal methods. Howe

The proliferation of hyper-realistic AI-generated images poses significant threats to digital information integrity and forensic accountability. Existing detection methodologies, however, face three c

Radio frequency fingerprinting (RFF) is a promising technique for physical-layer security. It exploits hardware-induced distortions as fingerprint features to enable passive, keyless, and protocol-agn

Differential Fault Attacks (DFAs) have recently emerged as a significant threat against stream ciphers specifically designed for Hybrid Homomorphic Encryption (HHE). In this work, we propose DFAs on t

Cross-chain asset transfer protocols are vital for blockchain interoperability. While many focus on functionality and scalability, privacy is often overlooked. The Payment Channel Hub (PCH) addresses

Advanced Persistent Threats (APTs) pose significant challenges to endpoint intrusion detection systems (IDSs) because their traffic often exhibits long-tail distributions, temporal evolution, boundary

Censorship-resistant communication systems that rely on popular Western tools often draw scrutiny in heavily censored regions, putting users at risk. We explore the alternative of using single-player

In recent years, threat intelligence analysis based on knowledge graphs has been widely regarded as a key approach to achieving proactive defense. However, existing research still suffers from deficie

Movable antennas (MAs) can reshape the propagation environment by continuously adjusting their spatial positions compared with fixed-position antennas (FPAs). Leveraging this advantage, we develop an