  We consider a smart home or smart office environment with a number of IoT
devices connected and passing data between one another. The footprints of the
data transferred can provide valuable information about the devices, which can
be used to (a) identify the IoT devices and (b) in case of failure, to identify
the correct replacements for these devices. In this paper, we generate the
embeddings for IoT devices in a smart home using Word2Vec, and explore the
possibility of having a similar concept for IoT devices, aka IoT2Vec. These
embeddings can be used in a number of ways, such as to find similar devices in
an IoT device store, or as a signature of each type of IoT device. We show
results of a feasibility study on the CASAS dataset of IoT device activity
logs, using our method to identify the patterns in embeddings of various types
of IoT devices in a household.
