Network firewall is the connection between the computer and the network channel

in the filter network virus

to protect the security of computer users there is an important role. The performance of the internal data filtering protection algorithm of the network firewall directly affects the ability of filtering the virus. However

most of the network firewall data are based on the pre-set security policy. The data packets inside and outside the network are checked and checked. There is a possibility of misjudgment.In this paper

an internal data filtering and protection algorithm based on community trust is proposed. Firstly

the internal database of network firewall is modeled as a hierarchical tree

and the problem of dangerous data acquisition in network firewall is transformed into tree traversal problem. By comparing the attribute of the tree

the query space is reduced. The accuracy and efficiency of the extraction of the dangerous data within the network firewall are improved by calculating the correlation of the attribute values. Then

the data trust of the network firewall is determined by calculating the data characteristics. The trust of the target data evaluation

and then to achieve the network firewall internal data filtering protection. The simulation results show that the proposed method can improve the accuracy of network firewall filtering protection effectively

improve the efficiency of filtering and protecting the data within the network firewall

and has strong practicability.