Network security situation awareness based on association rules
The problem of network security is becoming more and more prominent.The means of network attack are constantly evolving,and the traditional means of security protection can no longer meet the needs of awareness of network security situation and real-time response.In this paper,Apriori algorithm and K-Means algorithm are used to mine the clustering relation and asso-ciation rules of network attack data,which can realize the security situation awareness of network security data.In the experiment,the data is divided into key data and sub-key data,and the association rules and clustering relation mining are carried out respec-tively.Experiments show that the above algorithm can clearly perceive the correlation between various network security data and markers,and provide an important reference for network security decision-making.
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