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The original Apriori algorithm is widely used in the intrusion detection field, but it may consume incredible
computing resources in the process of handling network packets. We propose our optimized-Apriori algorithm which can
greatly improves the algorithm efficiency by means of reducing the data storage space and the number of frequent item
sets. We take full advantage of the characteristics of sparse matrix to save storage space and shorten the running time. The
experimental results show that our optimized-Apriori algorithm can make a larger progress in saving the storage space of
network data to be processed, even shortening nearly half of the data mining time in the process of intrusion detection.