Advancing IoT Security: The Impact of New Technological Paradigms

Internet of Things (IoT) systems are inherently expansive, connecting countless devices and sensors across various domains. The integration of blockchain provides immutable and transparent transaction logs, enhancing security and trust in IoT communications. Software-Defined Networking (SDN), offers flexible network management and improved security policy enforcement, while quantum computing introduces new paradigms in cryptographic security robust against future threats. Federated Learning, by enabling decentralized machine learning, ensures privacy-preserving data analysis, crucial for sensitive IoT applications.

The Topical Collection "Advancing IoT Security: The Impact of New Technological Paradigms" explores the evolving landscape of IoT security, augmented by groundbreaking technologies such as blockchain, SDN, quantum computing, and Federated Learning (FL). As IoT systems become more complex and integral to critical infrastructure, ensuring robust security frameworks is paramount. This collection seeks to delve into how these new technologies are reshaping the security architectures of IoT networks and devices, emphasizing privacy preservation and robust defense mechanisms.

The potential of these technologies to fortify IoT security, address emerging threats, and provide scalable security solutions that adapt to the complexities of IoT ecosystems. This Topical Collection aims to explore:

• Integration of blockchain to enhance transparency and trust in IoT devices.

• Case studies of blockchain applications in IoT security.

• Architectures and protocols for SDN in IoT.

• Impact of SDN on network security and policy management in IoT environments.

• Applications of quantum cryptography in IoT.

• Preparing IoT systems for the quantum computing era: challenges and solutions.

• Federated Learning approaches for decentralized data processing in IoT.

• Privacy-enhancing technologies and their applications in IoT settings.

• Combined use of SDN, blockchain, and quantum computing for holistic IoT security solutions.

• Future directions and technologies for IoT security.

We invite researchers, engineers, and practitioners to submit their original research, case studies, and visionary insights that contribute to the development and understanding of these transformative technologies in IoT security. Contributions should focus on the design, implementation, and evaluation of security solutions that incorporate these new technological paradigms, offering innovative perspectives and solutions to the challenges faced in securing modern IoT environments.

Keywords: IoT Security; Blockchain Technology; Software-Defined Networking (SDN); Quantum Computing; Federated Learning; Privacy Preservation; Cybersecurity Frameworks; Network Security; Decentralized Technologies; Quantum-Resistant Cryptography; Data Privacy; Secure IoT Architectures; Innovative Security Solutions; Technological Integration; Smart Device Security

This Collection supports and amplifies research related to: SDG 9, SDG 11 & SDG 16