TrustCom

The 24t JEEE International Conference on Trust, Security and Privacy in Computing and Communications
(TrustCom 2025)

The 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-2025) will be held in Guiyang, China. This conference continues its tradition of addressing the growing user expectations for trust, security, and privacy in an increasingly complex digital landscape, driven by the rapid advancements in computer systems, communication networks, and artificial intelligence (AI). As traditional security measures struggle to keep pace with dynamic and distributed computing environments, the need for robust trusted computing and communications technologies has become paramount.

TrustCom-2025 serves as a leading forum for showcasing cutting-edge work in trusted computing, communications, networking, and machine learning, specifically focusing on aspects of trust, security, privacy, reliability, dependability, survivability, availability, and fault tolerance in computer systems, networks, and AI.

The conference will feature presentations, workshops, tutorials, and keynote speeches, with accepted papers considered for inclusion in IEEE Xplore. Selected best papers may also be invited for extended contributions to special issues of prestigious journals.

The conference will cover a broad range of topics across six tracks:

• Trust Track: Focusing on trust models, trusted platforms, risk management, and trust in various network and social contexts.
• Security Track: Covering network, cyber, computer, and database security, as well as security in mobile, cloud, and 5G environments.
• Privacy Track: Addressing privacy in web applications, database systems, cloud/pervasive computing, and mobile/wireless communications, along with privacy and anonymity.
• Forensics and Analytics Track: Dedicated to various types of forensics, including big data, cloud, cyber-physical, and mobile forensics.
• Emerging Tech Track: Exploring new developments in hardware security, edge/fog computing security, deep learning in security, quantum-safe cryptography, and blockchain techniques.
• AI Trust Track: Concentrating on the trustworthiness of AI, including robustness, safety, fairness, transparency, accountability, privacy preservation, and adversarial learning in AI models.