IoT Device Identification

IoT device identification focuses on reliably recognizing and verifying connected devices, crucial for network security and management. Current research heavily utilizes machine learning, employing various architectures like convolutional neural networks (CNNs), long short-term memory networks (LSTMs), and ensemble methods, often leveraging communication traffic characteristics or device latency as identifying features. This field is significant because accurate identification is essential for mitigating security threats stemming from unauthorized or compromised devices, improving network efficiency, and enabling effective resource management. Furthermore, research actively addresses adversarial attacks aimed at circumventing these identification systems.