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IoTDevID: A Behavior-Based Device Identification Method for the IoT. (arXiv:2102.08866v3 [cs.CR] UPDATED)
July 20, 2022, 1:20 a.m. | Kahraman Kostas, Mike Just, Michael A. Lones
cs.CR updates on arXiv.org arxiv.org
Device identification is one way to secure a network of IoT devices, whereby
devices identified as suspicious can subsequently be isolated from a network.
In this study, we present a machine learning-based method, IoTDevID, that
recognizes devices through characteristics of their network packets. As a
result of using a rigorous feature analysis and selection process, our study
offers a generalizable and realistic approach to modelling device behavior,
achieving high predictive accuracy across two public datasets. The model's
underlying feature set …
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