IoT2Vec: Identification of Similar IoT Devices via Activity Footprints
May 21, 2018 Β· Declared Dead Β· π International Conference on Advances in Computing, Communications and Informatics
"No code URL or promise found in abstract"
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Authors
Kushal Singla, Joy Bose
arXiv ID
1805.07907
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.NE,
cs.NI
Citations
8
Venue
International Conference on Advances in Computing, Communications and Informatics
Last Checked
4 months ago
Abstract
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.
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