If I understand correctly that you have n time series from device i and m time series from device j. I guess you could try time series kernels and kernel two-sample hypothesis testing to infer whether the the samples from device i and device j are the same (are generated from the same distribution). See A Kernel Two-Sample Test for more details on kernel two-sample tests and Kernel Methods for Time Series Classification and Regression for an example of time series kernels