Risk Assessment Model of Network Intrusion in Electronic Commerce Area

In the electronic commerce area, the network intrusion happens frequently, and the risk assessment model of network intrusion for the electronic commerce is researched. Currently, the complexity of electronic commerce network intrusion is increasing day by day, and all kinds of potential relevance factors are becoming more and more complicated. The traditional methods access the security of network intrusion quantitatively, because the quantitative standard is fuzzy, the risk assessment is not accurate. An improved risk assessment model of electronic commerce network intrusion is proposed based on rough set grey prediction method. According to rough set theory, all factors that will influence the risk of electronic commerce network intrusion are taken into consideration. The two-dimensional decision table is established. The errors and redundant data in the decision table are removed. The data attributes are taken with simple processing, redundant attribute values are deleted. The intrusion risk knowledge representation system in the network is obtained. The cross operation is taken for the equivalence relation family in the system. According to the obtained results, the network intrusion risk related data sets are established. Rough set grey prediction model is extracted. Risk matrix of the historical data in network intrusion is obtained, the rough set grey prediction model is established, and the network intrusion risk assessment of electronic commerce is completed. Simulation results show that the improved method can be applied in the network intrusion risk assessment of electronic commerce, and the risk of network intrusion can be evaluated accurately, the security of electronic commerce can be ensured.