Today I still have a bit of diarrhea, so I'll update later, probably around one in the morning. Just refresh this chapter then.
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Abstract: To ensure network security, a method for mining and estimating network security risks based on big data analysis is proposed. The Map and Reduce functions of the Hadoop platform are utilized to mine association rules of network security events. These mined association rules are used as features of network security events, and these features are input into the Support Vector Machine with Radial Basis Kernel Function. By training, a network security risk estimation model is established. The optimal parameter of the Support Vector Machine is searched using the optimization performance of the QPSO method. Experimental results indicate that this method improves the precision of network security risk estimation and provides significant reference value for defending against network security risks.
