Abstract: Cross-domain virtual network is one of the key components in today's network field. Due to the existence of many factors, such as network attacks and security vulnerabilities, the incidence of source node location privacy disturbance remains high, which threatens the security of location information. Therefore, a method for identifying source node location privacy disturbance in cross-domain virtual network based on random mapping is proposed. In-depth analysis of cross-domain virtual network topology, communication protocols, etc., establishment of cross-domain virtual network model, design of random mapping strategy of source node position in cross-domain virtual network, extraction of source node position privacy disturbance signal characteristics, calculation of correlation coefficient between it and source node operation signal, formulation of privacy disturbance identification rules, and decision of whether to start the random mapping strategy of source node position, so as to realize effective identification of source node position privacy disturbance. The experimental results show that the minimum identifiable ratio of the source node location information obtained by the proposed method reaches 1%, and the privacy disturbance identification results are consistent with the actual results, which fully proves that the proposed method has better application effect.