A Cloud Security Situational Awareness Model Based on Parallel Apriori Algorithm
Xiao Yang Liang, Hong Wu Lv, Fang Fang Guo, Hui Qiang Wang · Applied Mechanics and Materials · 2014
Network Security Situation Awareness (NSSA) is a hot topic in network security field, and cloud computing is a new technology integrated virtual storage and distributed computing. It has become the challenging questions how to provide efficient and reliable service for NSSA based on the cloud computing.This paper proposes a cloud security situation awareness model based on data mining, and puts forwarda parallelfrequent-tree Apriori algorithm (PFT-Apriori) for mining association rules. Compare with the traditional Apriori algorithm, the experimental results show that the performance of system is increased by 51% under PFT-algorithm.