Network Location Information Hiding Algorithm Based on Machine Learning

In order to improve the security of network location information, it is necessary to design the network location information hiding, and an information hiding technology is proposed based on machine learning in cloud computing environment. The spatial geometry method is used to calculate the grid density of the network location information distribution, and the chaotic encryption method is used to encode the hidden location information data. The classification feature selection method is used to analyze the source of network location information transmission in cloud computing environment, and the encryption key construction of network location information is realized by combining random coding technology. The machine learning algorithm is used to optimize the network location information hiding process, and the network location information hiding is realized. The simulation results show that the proposed method has good encryption performance and strong anti-attack ability. It can effectively avoid the information leakage of network location and improve the ability of privacy protection.