LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. (arXiv:2211.01840v2 [cs.LG] UPDATED)

Data integrity becomes paramount as the number of Internet of Things (IoT)
sensor deployments increases. Sensor data can be altered by benign causes or
malicious actions. Mechanisms that detect drifts and irregularities can prevent
disruptions and data bias in the state of an IoT application. This paper
presents LE3D, an ensemble framework of data drift estimators capable of
detecting abnormal sensor behaviours. Working collaboratively with surrounding
IoT devices, the type of drift (natural/abnormal) can also be identified and
reported to …

data devices framework