Intelligent and Adaptive Security in Internet of Things

Dear Colleagues,

Advances in emerging networking technologies, artificial intelligence (AI), and machine learning (ML) have attracted an enormous amount of attention to the Internet of Things (IoT) in both academia and industry. Various smart services (e.g., smart city, connected car, smart healthcare, smart factory, smart home, smart wearable) have been introduced and discussed in the context of IoT with their endless potential to change our lives positively. However, they also introduce cybersecurity hazards and threats that had not previously been seen or anticipated. For example, a massive amount of data collected from IoT sensors could be an attractive target for attackers, such as adversarial ML. Moreover, DDoS attacks using IoT botnets, such as Mirai botnet, would become a serious issue in the IoT world. To address these issues, we need intelligent, adaptive, and more robust solutions to analyze and mitigate potential security threats in IoT.

This Special Issue aims to report high-quality research in recent advances in intelligent and adaptive security and privacy solutions for IoT. Topics of interest include but are not limited to those covered by the keyword list below.

• AI and ML techniques for securing IoT;
• Cyber threats and incident analysis in IoT;
• Data-driven security for IoT;
• Intrusion and anomaly detection in IoT;
• Risk identification and assessment in IoT;
• Adversarial machine learning in IoT;
• Collaborative learning for IoT;
• Malware and botnets in IoT.

Dr. Hyoungshick Kim
Dr. Jin B. Hong
Guest Editors

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