Abstract: At present,research on the security of video surveillance network systems still remains at the level of security indicator systems and indicator weights.In order to further carry out research on the security of video surveillance network systems,a variable fuzzy evaluation model was established to evaluate the security performance of video surveillance network systems.Regret theory was introduced to verify the evaluation results,and actual cases were used to verify the effectiveness of the evaluation model.This study uses variable fuzzy theory to calculate the comprehensive relative membership degrees of fuzzy evaluation mo-del,neuron excitation function model,TOPSIS ideal point model,and fuzzy optimization evaluation model.Then,the evaluation results corresponding to these four models are obtained,and their arithmetic mean is calculated to obtain the final evaluation level.The verification method based on regret theory used in this study can select the optimal evaluation scheme,and thus verify the evaluation results using the variable fuzzy evaluation model.The evaluation model proposed in this study helps to take targeted measures for weak links in video surveillance networks,improve the overall security of video surveillance network systems,and provide guarantees for the security construction and use of video surveillance systems.

Key words: Variable fuzzy theory, Video, Surveillance, Network, Security, Evaluation, Regret theory, Verification