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Exploring the Frontiers of Security, Privacy, and Trust in the IoT Ecosystem

Special Issue Information

Dear Colleagues,

Technological advancements in communications and networking technologies in the digital era have led to Internet of Things (IoT) devices being adopted and deployed across different domains such as smart cities, smart homes, smart health, wearable technologies, intelligent transportation systems (ITS), and retail, to name a few. It is estimated that the number of IoT devices will reach more than 30 billion by 2025. This massive number of connected IoT devices has created an internet of vulnerabilities (IoV), which presents challenges to security and privacy due to the exponential rise of cyber-attacks targeting a wide range of devices, systems, and applications such as e-commerce, online banking, and mission-critical applications. IoT systems are at high risk due to the complexity and sophistication of adversaries and attack techniques employed in cyber-attacks. Therefore, it is evident that more robustness and novelty are critical to improving the state of secure IoT ecosystems across multiple domains, technologies, and industries to ensure security, resilience, privacy, and trust in our systems. 

 To that purpose, this Special Issue invites contributions from academics and researchers presenting new original research and developments in security, privacy, and trust relevant to the domains of systems, networks, technologies, frameworks, methodologies, and big data related to the IoT ecosystem. We encourage submissions with high-quality empirical research and scholarly work proposing practical, scalable, and usable approaches to security, privacy, and trust in IoT systems and comprehensive and systematic surveys.

This Special Issue is related to Sensors because the main IoT components are sensors and actuators.

  • Mission critical infrastructures and applications security
  • Blockchain solutions for IoT environment
  • Artificial Intelligence (AI) for securing IoT
  • Machine Learning (ML) and federated learning for IoT systems
  • Security and risks in blockchain-based IoT systems
  • Privacy-preserving big data processing and analytics in IoT
  • Authentication and access control in IoT systems
  • Trust-aware security and privacy-preserving solutions for IoT
  • Intrusion detection and resilience in IoT systems

Dr. Muath Obaidat
Dr. Mueen Uddin
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers