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Excessive embedding of privacy data can lead to an extension of the extraction time of host information parameters in aerospace networks and a decrease in data security. Therefore, a Docker container based privacy data security protection control method for aerospace networks is studied. Collect space network load data using Docker containers, evaluate the real-time load of Docker containers, and schedule space network Docker containers in conjunction with target protection information. According to Docker container scheduling and Paillier homomorphic encryption results, static stains are extracted and then the training and processing of space network privacy data are completed. Based on the obtained data, define a chaotic mapping relationship, generate a security seed key through discrete transformation, and combine the solution of the security protection control function to achieve security protection control of aerospace network privacy data. The experimental results show that the proposed method can control the real-time embedding amount of privacy data to below 5.5GB, ensuring that the time for network hosts to extract information parameters does not exceed 0.7ms, and effectively ensuring the security of space network privacy data.