Method and apparatus for detecting manipulation of a technical device in a motor vehicle utilizing methods of artificial intelligence

Abstract

A method for detecting manipulation of a technical device, particularly a technical device in a motor vehicle, especially an exhaust-gas treatment device. The method includes: providing a time series of an input vector having one or more system variables and having at least one manipulated variable for an intervention in the technical device; utilizing a data-based manipulation detection model which includes a recurrent neural network that is designed to determine a state vector as a function of the input vector, and an autoencoder which is designed to determine a reconstructed vector as a function of the state vector, detecting an anomaly as a function of a reconstruction error, which is a function of the reconstructed vector; and detecting a manipulation as a function of the reconstruction error.

CPC Classifications