Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet of Things. (arXiv:2210.01840v1 [cs.LG])

Detecting anomalies at the time of happening is vital in environments like
buildings and homes to identify potential cyber-attacks. This paper discussed
the various mechanisms to detect anomalies as soon as they occur. We shed light
on crucial considerations when building machine learning models. We constructed
and gathered data from multiple self-build (DIY) IoT devices with different
in-situ sensors and found effective ways to find the point, contextual and
combine anomalies. We also discussed several challenges and potential solutions
when …

arxiv buildings internet internet of things smart smart buildings