Research Areas

본문

Information

Intelligent Internet of Things

Information

IoT systems can be classified into massive IoT, which requires high scalability, and critical IoT, which basically demands high availability, reliability, and low latency. Especially, the 6G paradigm will accommodate a huge number of devices, in which handling data generated from such devices are a lot more challenging than ever. For this reason, integrating Artificial Intelligence (AI) has become a must to boost the capabilities of IoT systems and applications by automating the decision making. The IoT, in turn, improves the value of AI by allowing real-time connectivity and data communication. In this exchange, the data must be concise, therefore, anomaly cognition is one of the most crucial requirements in the Intelligent Internet of Things. Anomaly cognition includes detection, prediction, and identification of the data faults and cyber-attacks.