Design of a Real-time Cloud-based Monitoring System for Network Security Events

A real-time cloud monitoring system supporting the processing of large-scale data has been designed and developed in this project through the analysis of security event logs generated by Intrusion detection system(IDS). The achievement of offline correlation analysis and real-time clustering of security logs is facilitated by the implementation of parallel Apriori and K-means algorithms.