New Trends in IoT Networks and Security

Dear Colleagues,

The aim of this Special Issue is to bring together the latest research findings, innovative ideas, and practical solutions in the field of Internet of Things (IoT) networks and security. It seeks to address the critical challenges that emerge as IoT technology continues to expand and integrate into various aspects of daily life. By publishing high-quality papers, this Special Issue aims to advance our understanding of IoT security risks and drive the development of effective protection mechanisms for IoT ecosystems.

The scope encompasses a wide range of areas related to IoT networks and security. It includes both theoretical and applied research, covering different industries where IoT is deployed, such as healthcare, smart cities, industrial automation, and transportation. This Special Issue also welcomes studies on the interaction between IoT devices, communication protocols used in IoT networks, and how security threats can impact the overall functionality and reliability of these networks. 

This Special Issue will focus on (but is not limited to) the following topics: 

• Developing secure, scalable authentication mechanisms and access control models to protect IoT resources from unauthorized access and privilege escalation attacks.
• Data privacy in IoT: Exploring privacy-enhancing technologies, secure data sharing methods, and compliance frameworks to protect sensitive information in IoT ecosystems.
• Secure communication protocols for IoT: Designing and analyzing lightweight cryptographic protocols and security frameworks to safeguard IoT communications from threats such as eavesdropping, replay attacks, and data tampering.
• Security in fog and edge computing for IoT: Addressing security and privacy challenges in decentralized IoT architectures, including secure data processing, network resilience, and resource-constrained security mechanisms.
• AI and machine learning for IoT security: Exploring AI-driven techniques for real-time threat detection and anomaly detection in IoT networks.
• Security of AI at the edge: Investigating threats to AI models deployed in edge IoT environments, including adversarial attacks, model poisoning, data privacy risks, and techniques for securing distributed AI systems.

Dr. Theodoros Spyridopoulos
Guest Editor

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 2400 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.

• IoT networks
• IoT security
• security mechanisms
• privacy preservation
• edge computing
• edge security
• edge AI
• AI security