Research On The Cooperative Attack Decision Algorithm Based On Complex Network

The modern war is system combat based on network. Each side of battle is a dynamic network which is coupling in a specific way. Network provides not only situation information and command information for all level combat unit, but also information for launch and guidance of weapon. So it can get very good effect to attack the enemy's command network in combat. Today, the developed countries such as USA has made substantial progress in the study of network reconnaissance and attack and achieved good results in battle. In our country, some research institutions have made remarkable achievements in the analysis of complex network topology and network dynamics, but research on combination of command and control function is still not deep enough.In this paper, based on the research of complex network theory, the concept of the advantage of network attack(NAN) has been proposed, and the model of NAN'S evaluation index system has been established. The calculation method of NAN has also been given in this paper.Based on the theory of complex network and the concept of NAN, this paper proposes evaluation algorithm of NAN by applying hierarchy analysis method. The results of simulation experiment indicate that this algorithm can effectively calculate the position of the nodes in the network and provide basis for network attack decision.At the end of this paper, research on fire / network warfare system collaborative decision algorithm, the effectiveness evaluation method of network attack and the emission characteristics of precision guided weapons, optimized and improved based on the square law of Lanchester Equation. The improved algorithm considers many influencing factors of modern warfare, The establishment of the against model of the fire / cyber warfare combat system in integration of operations, using the optimization theory of force is not equal, the two sides against the force distribution algorithm. The simulation results show that, the algorithm is feasible, the results accord with the actual combat. Provide a basis and reference for vulnerability analysis and assessment of the enemy command and control network.