Taking the radar in the integrated air defense system as the combat object, the idea and method of the cooperative target allocation of the unmanned aerial vehicle (UAV) swarm cyberspace attack action are studied from the height of the system, and a cooperative target assignment model based on the cooperative target allocation rule is constructed, the cores of which are the target redistribution rules and the man-machine coordination rules. Then, the solving method of the cooperative target allocation model based on the intelligent optimization algorithm is studied, for which the hybrid discrete particle swarm optimization is used to simulate the assignment of man-machine targets, and the UAV target allocation is simulated by using the protocol rule algorithm. Finally, the simulation test is carried out and the experimental results show the effectiveness of the cooperative target allocation model, as well as reflect the significant impact of the swarm network status on the effectiveness of the swarm operations, providing quantitative basis for the war method design of the UAV swarm and the anti UAV swarm.