IoT2Vec: Identification of Similar IoT Devices via Activity Footprints

May 21, 2018 Β· Declared Dead Β· πŸ› International Conference on Advances in Computing, Communications and Informatics

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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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