Emerging Techniques for Privacy, Security and Trusted Execution in IoT Systems
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Security and Privacy".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 31
Special Issue Editors
Interests: applied cryptography; secure multi-party computation; privacy; security; machine learning; IoT
Interests: artificial intelligence; information security; adversarial attacks; recommendation systems; big data and distributed computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Internet of Things (IoT) systems enable the pervasive interconnection of heterogeneous devices, sensors, and services, tightly integrating the cyber world with the physical environment. By combining sensing, computation, communication, and actuation, IoT systems operate across diverse spatial and temporal scales and support a wide spectrum of applications, including smart cities, industrial automation, intelligent transportation, healthcare monitoring, energy management, and environmental sensing. These applications are central to the realization of intelligent, autonomous, and data-driven systems that interact seamlessly with the physical world and play critical roles in modern society.
With the rapid expansion and large-scale deployment of IoT infrastructures, concerns regarding privacy protection, system security, and trusted execution have become increasingly critical. IoT devices are often resource-constrained, highly distributed, and exposed to untrusted environments, making them particularly vulnerable to cyberattacks, data leakage, and integrity violations. Emerging techniques, such as lightweight cryptography, secure and privacy-preserving data analytics, trusted execution environments, hardware-assisted security, decentralized trust, and Artificial Intelligence (AI)-enabled mechanisms, are therefore essential to safeguarding IoT systems. This Special Issue aims to bring together cutting-edge research that advances the state of the art in privacy, security, and trusted execution for IoT systems, addressing both theoretical foundations and practical challenges in building resilient and trustworthy IoT ecosystems.
Dr. Ye Dong
Prof. Dr. Mingxing Duan
Guest Editors
Manuscript Submission Information
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Keywords
- lightweight cryptography
- secure and privacy-preserving data analytics
- trusted hardware-assisted security
- decentralized trust
- Artificial Intelligence (AI)-enabled security and privacy
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