Design and Application of a Snort System Based on Data Mining
Lin Li-na · Journal of Jimei University · 2011
In order to improve the efficiency of intrusion detection,the paper proposed an improved Snort system based on data mining.The system took advantage of the data mining in intrusion detection,and emplayed the improved Apriori algorithm.A data was added anomaly detection module to the Snort system,amended the fault of Snort,and improved the rate of detection.The simulation results and the actual application of the network environment showed that the improved system had a higher performance than the original Snort,and could detect unknown intrusion and enhance the security of computer systems.