In industrial intelligence, embedded devices with radio channels, known as radio jamming devices, are commonly used to covertly intercept and transmit information. These devices utilize electromagnetic waves, which can travel long distances undetected, making remote surveillance possible. Detecting their signals is therefore a critical scientific challenge.This report addresses the problem by proposing a method for detecting random signals from hidden transmitters. The approach is based on differential signal transformations within correlation theory. It is proven that this method accurately determines the correlation function, showing that a hidden transmitter's signal comprises the sum of all discrete components of the differential spectrum. This enables the identification of its parameters, distinguishing it from other random signals in the tested radio range.Simulations confirmed the method’s effectiveness by providing numerical parameters and graphical results, validating its reliability in detecting hidden transmitters.