IoT Security in the Age of AI: Innovative Approaches and Technologies

Dear Colleagues,

The rapid expansion of the Internet of Things (IoT) continues to revolutionize various sectors by enabling smart devices to communicate and collaborate seamlessly. However, this growth also introduces significant security challenges that must be addressed to protect sensitive data, maintain user privacy, and ensure the integrity of IoT networks. The need to secure IoT systems against an increasingly sophisticated landscape of cyber threats has become paramount, especially as IoT applications penetrate critical domains such as healthcare, smart cities, industrial automation, and transportation.

In this Special Issue, we are particularly interested in papers that explore innovative approaches, frameworks, and technologies to enhance the security of IoT systems. We invite submissions that address new methods for detecting and mitigating security vulnerabilities, protecting IoT devices against attacks, and developing secure communication protocols for IoT networks.

Topics of interest include, but are not limited to:

• Advanced cryptographic techniques and lightweight security solutions for IoT devices;
• Machine learning and artificial intelligence approaches for IoT threat detection and response;
• Secure communication protocols and architectures for IoT networks;
• Privacy-enhancing technologies and data protection methods for IoT applications;
• Blockchain and distributed ledger technologies for IoT security;
• Federated learning approaches to secure IoT systems and protect user data;
• Utilization of large language models (LLMs) for anomaly detection and predictive security in IoT environments;
• Risk assessment, threat modeling, and security frameworks for IoT ecosystems;
• Case studies and real-world applications demonstrating IoT security implementations;
• Security considerations in IoT edge computing and fog computing environments.

We encourage submissions that provide insights into emerging security challenges, present new technological solutions, or propose innovative models for enhancing the security posture of IoT systems.

Dr. Yazan Otoum
Guest Editor

Manuscript Submission Information

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• IoT security
• federated learning
• large language models (LLMs)
• machine learning for IoT
• cybersecurity
• blockchain technology