Machine Learning Approaches for Anomaly Detection in IoT Systems
摘要
The Internet of Things (IoT) has emerged as a revolutionary technology that enables the exchange of data between physical objects in a seamless manner via networked sensors and devices. This article examines the far-reaching consequences of Internet of Things (IoT) systems in various sectors, such as transportation, healthcare, industry, Smart cities, and industrial IoT (IIoT). IoT facilitates the oversight and administration of vital infrastructure within Smart Cities, thereby advancing the goals of sustainability and efficiency. By optimising production processes and reducing expenses via predictive maintenance and supply chain management, the IIoT transforms industrial environments. IoT enables individualised treatment, proactive health management, and remote patient surveillance in the healthcare industry, thereby improving the accuracy of diagnoses and the timeliness of treatments. Smart farming practices propelled by the Internet of Things benefit agriculture by facilitating real-time monitoring of soil and crop conditions to optimise yield and irrigation. Moreover, IoT intelligent systems reshape the transportation industry in terms of sustainability, efficiency, and safety. The importance of the Internet of Things (IoT) resides in its ability to produce extensive quantities of data and extract valuable insights, which guide decision-making and improve the overall standard of living in various industries. Information analytics, predictive maintenance, Internet of Things, IoT systems, Smart Cities, Industrial IoT, Healthcare, Agriculture, and Transportation.