Emerging Sensor Technologies for Enhancing IoT Security and Privacy

Dear Colleagues,

The rapid proliferation of the Internet of Things (IoT) has created unprecedented opportunities across healthcare, transportation, smart cities, and industrial systems. However, the massive deployment of heterogeneous and resource-constrained devices has also introduced critical challenges in ensuring data security, privacy, and trust. Emerging sensor technologies—when combined with advances in artificial intelligence, large language models (LLMs), and autonomous agent frameworks—are reshaping how IoT ecosystems detect threats, preserve privacy, and adapt dynamically to evolving cyber risks.

This Special Issue, titled “Emerging Sensor Technologies for Enhancing IoT Security and Privacy”, seeks contributions that address this interdisciplinary frontier. Topics of interest include secure and privacy-preserving sensing architectures, lightweight cryptographic and authentication schemes, intelligent anomaly detection, trustworthy data aggregation, and AI-enabled decision-making at the edge. We especially welcome works that integrate LLMs, multi-agent systems, or federated learning to enhance real-time IoT security, as well as cross-layer approaches that combine sensing, networking, and application-level safeguards. By highlighting theoretical advances, algorithmic frameworks, and real-world deployments, this Special Issue aims to showcase how innovative sensor and AI technologies can mitigate vulnerabilities, strengthen trust, and pave the way for sustainable, human-centered IoT systems.

Prof. Dr. Si Chen
Dr. Liu Cui
Guest Editors

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