Artificial intelligence based device identification

A system for obtaining information about an Internet of Things (IoT) device connected to a network, the system comprising:

• a data traffic collection point configured to collect data units communicated to or from a specified IoT device of a plurality of IoT devices connected to a network, wherein the data collection point is one of:
• the specified IoT device, a node of the network via which data units communicated to or from the specified IoT device passes, and a port of a network component linked to the specified IoT device, and
• a computing system comprising one or more processors and a memory storing computational modules executable by the one or more processors, the computational modules comprising:
• a data processing module configured to process quantitative information pertaining to the data units communicated to or from the specified IoT device collected over a defined time interval, to create a graphical image from the quantitative information, the graphical image representing a temporal data traffic fingerprint of the specified IoT device, and
• an artificial intelligence module configured to deduce device identifying information of the specified IoT device by providing the graphical image as input to a machine learning model for classifying the graphical image into one of a plurality of learned data traffic fingerprint types.