Innovative Sensors and Processes for Intrusion and Anomaly Detection in IoT
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 46
Special Issue Editors
Interests: networks; IOT
Special Issue Information
Dear Colleagues,
The proliferation of IoT devices and the increasing integration of cyber–physical systems (CPS) across diverse domains—from smart homes and industrial automation to healthcare and critical infrastructure—have created unprecedented vulnerabilities. Traditional security mechanisms often fall short in detecting subtle anomalies or sophisticated intrusions in these dynamic environments. This Special Issue aims to showcase cutting-edge research on sensors, methodologies, and processes that enhance intrusion and anomaly detection within IoT and CPS ecosystems.
We welcome original contributions focusing on sensor design, data fusion, edge AI for threat detection, anomaly detection using machine learning, privacy-preserving sensing systems, behavior-based anomaly detection, hybrid threat detection, context-aware sensing, secure sensor fusion, and data-driven predictive models for real-time protection. Contributions may include both theoretical developments and real-world applications. This Special Issue also encourages interdisciplinary work intersecting networking, cybersecurity, and embedded sensing.
This topic is highly aligned with the scope of Sensors, focusing on the role of innovative sensing technologies and methodologies in enhancing system security.
Dr. Vasos Vassiliou
Prof. Dr. Iacovos I. Ioannou
Guest Editors
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Keywords
- IoT security
- intrusion detection
- anomaly detection
- edge computing
- cyber–physical systems
- machine learning
- sensor networks
- privacy
- network monitoring
- embedded security
- smart environments
- AI for security
- resilient sensing
- hybrid threat detection
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