While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device identification methods provide a preventive security measure as an important factor in identifying these devices and detecting the vulnerabilities they suffer from. In this study, we present a method that identifies devices in the Aalto dataset using the convolutional neural network (CNN).

翻译：随着物联网的日益普及，大量设备涌入市场，诸多安全漏洞也随之涌现。在此环境下，物联网设备识别方法提供了一种预防性安全措施，成为识别这些设备并检测其漏洞的关键因素。本研究提出了一种利用卷积神经网络（CNN）识别Aalto数据集中设备的方法。