In view of the uncertainty of the indexes of target protection scheme as well as the inconsistency among indicators, an optimization design method based on Pareto optimal of multi objective decision making (MODM) is put forward. Combined with the practicalities of information based strategy, an evaluation index system for the target protection that meets the requirements of cyberspace confrontation is constructed. A mathematical model of protection scheme design is established. On this basis, the conductor acts upon his own preference to the weighting methods for obtaining a satisfactory solution to the optimization method. The model simulation test proved that the application of Pareto optimization of MODM narrows the decision range, achieves the purpose for improving the solution quality and benefits for the conductor to make scientific, reasonable and accurate decisions.

Based on the analysis of the effectiveness evaluation requirements of the cyberspace information defense combat command, an evaluation index system, evaluation model and evaluation framework are constructed according to the construction principles of the index system and the influencing factors. In traditional command effectiveness evaluation method of the contestant personnel evaluation, the problems such as randomicity and subjective uncertainty inevitably occur. Based on the fuzzy neural network, a network defense battle command effectiveness evaluation model of space information is proposed. The advantages of the fuzzy neural network such as self-learning, adaptive and strong fault tolerance are used to optimize the connection weights and fuzzy parameters of the network, and weaken the human factors in the effectiveness evaluation. The feasibility of the model is verified through the simulation experiment, which provides guidance and reference for the construction of cyberspace information defense combat command system.