Security and Privacy for the Internet of Things and Wireless Sensor Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 10
Special Issue Editor
Special Issue Information
Dear Colleagues,
Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) are fundamentally changing how we interact with the physical world as they are rapidly being deployed in smart homes, smart industries, smart health, and smart cities. The widespread adoption of these devices also increases the risks to security and privacy due to the vast amounts of data they collect of varying sensitivities. Traditional cybersecurity measures are not well-suited to secure WSNs and IoT. Hence, there is growing research focused on building secure and privacy-preserving techniques to safeguard them.
Therefore, this Special Issue aims to put together original and high-quality research and review articles on recent advancements, applications, and new challenges in the security and privacy of WSNs and IoT.
Potential topics include but are not limited to the following:
- Authentication and authorization protocols.
- Lightweight data encryption algorithms.
- Privacy-preserving data aggregation.
- Homomorphic encryption and differential privacy.
- Federated learning techniques.
- Intrusion and anomaly detection for IoT and WSNs.
- Lightweight, on-device, or edge-based ML/AI models (e.g., anomaly detection) for identifying cyber-attacks.
- Adversarial AI in IoT.
- Blockchain for WSN and IoT.
- Physical-layer security.
- Fingerprinting IoT and WSN devices for authentication and authorization.
- Trust management techniques for zero-trust deployments for IoT and WSNs.
- Dynamic trust and reputation models for ad hoc and distributed sensor networks.
Dr. Naeem Syed
Guest Editor
Manuscript Submission Information
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Keywords
- authentication and authorization protocols
- lightweight data encryption algorithms
- privacy-preserving data aggregation
- homomorphic encryption and differential privacy
- federated learning techniques
- intrusion and anomaly detection for IoT and WSNs
- lightweight, on-device, or edge-based ML/AI models (e.g., anomaly detection) for identifying cyber-attacks
- adversarial AI in IoT
- blockchain for WSN and IoT
- physical-layer security
- fingerprinting IoT and WSN devices for authentication and authorization
- trust management techniques for zero-trust deployments for IoT and WSNs
- dynamic trust and reputation models for ad hoc and distributed sensor networks
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