Abstract

With the popularization of mobile communication equipment, the application scope of heterogeneous mobile networks is expanding. The diversity of network types and access methods of heterogeneous mobile networks also increases the number of security problems that exist in the network. In order to ensure the security of the heterogeneous mobile network, it is necessary to perform effective authentication and status monitoring on the mobile communication device requesting access to the heterogeneous mobile network. To this end, this paper proposes a heterogeneous mobile network access control technology based on mutual trust mechanism. Firstly, this technology designs a network system model based on mutual trust system. In this network structure, the mobile communication node needs to pass the verification of the security service system before access the network, which guarantees the security of the heterogeneous mobile network to a certain extent. In order to meet the network service quality requirements of mobile communication nodes, this paper adopts a naive Bayesian-based machine learning method to select the optimal access network in heterogeneous networks for mobile communication nodes. In order to prevent malicious nodes in abnormal state from destroying network security, this paper adopts the hidden node detection method based on hidden Markov model. The security service system is suspended to provide a trust service for the detected abnormal node, to make the security service system stop providing trust services for exception nodes and the exception nodes unable to continue using network services. In the simulation experiment, the security analysis of the algorithm and the effectiveness evaluation of the performance were carried out.

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