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As the firewall is a typical network security equipment, it is usually installed at most of internal/external networks and makes many packet data in/out. So analyzing the its logs stored in it can provide important and fundamental data on the network security research. However, along with development of c ommunications technology, the speed of internet network is improved and then the amount of log data is becoming 'Massive D ata' or 'BigData'. In this trend, there are limits to analyze log data using the traditional database model RDBMS. In this pa per, through our Method of Analyzing Firewall log data using MapReduce based on NoSQL, we have discovered that the introduci ng NoSQL data base model can more effectively analyze the massive log data than the traditional one. We have demonstr ated execellent performance of the NoSQL by comparing the performance of data processing with existing RDBMS. Also the pr oposed method is evaluated by experiments that detect the three attack patterns and shown that it is highly effective.Keywords: NoSQL, Firewall, Log Analysis, MapReduce, BigData (2013 3 29), (1: 2013 6 13, 2: 2013 7 1), (2013 7 1)* "  2013     ."(GCU-2013-R193)†, cbm0728@gmail.com‡, mmhan@gachon.ac.kr (Corresponding author)

The Method of Analyzing Firewall Log Data using MapReduce based on NoSQL