  This paper investigates the following problem: how to find a GSMem malicious
activity effectively. To this end, this paper puts forward a new method based
on Artificial Intelligence (AI). At first, we use a large quantity of data in
terms of frequencies and amplitudes of some electromagnetic waves to train our
models. And then, we input a given frequency and amplitude into the obtained
models, predicting that whether a GSMem malicious activity occurs or not. The
simulated experiments show that the new method is potential to detect a GSMem
one, with low False Positive Rates (FPR) and low False Negative Rates (FNR).
