论文信息 - Machine Learning Techniques for Recognizing IoT Devices

Machine Learning Techniques for Recognizing IoT Devices

Now Internet of Things is growing fast and presents huge opportunities for the industry, the users, and the hackers. IoT service providers may face challenges from IoT devices which are developed with software and hardware originally designed for mobile computing and traditional computer environments. Thus the first line of security defense of IoT service providers is identification of IoT devices and try to analyze their behaviors before allowing them to use the service. In this work, we propose to use machine learning techniques to identify the IoT devices. We also report experiment to explain the performance and potential of our techniques.

Farn Wang | Yu-Chien Lin

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