Aiming at the intrusion of untrusted users in remote sensing cloud platform, this paper designed a user behavior authentication scheme based on the characteristics of remote sensing cloud user behavior and Bayesian network algorithm. The scheme discussed the users' behavior authentication mechanism of remote sensing cloud platform, and according to the users' behavior characteristics, the scheme established an authentication set on users' behavior. It combined with the predictive characteristics of Bayesian network algorithm and user behavior properties to set up a Bayesian network model for authentication grade prediction. It applied the weight information of user behavior attributes analyzed in this model to the user grade prediction algorithm, which made the algorithm more secure and accurate for remote sensing cloud user authentication safer accurately, so as to realize the prediction of user behavior authentication level. Simulation examples show that the model is effective to identify untrusted users accurately, and can ensure the security of remote sensing cloud platform.

[2019-02-05] Printed Article /doc/2017.09.0903/v2