The invention discloses an
attack and detection method for cross-protocol communication, and the method comprises the steps: building a monitoring and detection model based on a
decision tree model, taking the phase, amplitude and
frequency spectrum components of each
subcarrier of channel state data collected in real time as the input of the model, and taking the classification of cross-technical interference traffic and normal traffic as the output;
time sequence modeling and congestion judgment are carried out based on a Transform model, a DQN network is introduced based on an MPC framework, a congestion
attack defense model is constructed, a
system state vector is used as the input of the model, and a selected optimal defense action is used as the output; according to the method, the DQN method is introduced to assist the rolling
optimization problem of the MPC framework, so that the
system can utilize the prediction and constraint
processing capability of the MPC and can also utilize the rapid value
estimation of the DQN in a large-scale state-action space, finally, the defense decision is efficiently completed in each time slot, and the calculation cost of
attack and detection in a cross-
technology communication system is reduced.