Network Intrusion Detection Method Based on Improved Particle Swarm Optimization Algorithm in Cloud Computing Platform
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The existing intrusion detection algorithm, based on the concept of parallel genetic algorithm and BP neural algorithm, is based on the cloud computing platform of network intrusion detection algorithm Mr real-time large-scale intrusion detection data for detection. Compared with the existing intrusion detection system, the efficiency and accuracy are greatly improved. Through two groups of comparative experiments, the optimization algorithm Mr GA - BP average algorithm is realized, which proves the performance advantage of intrusion detection system.
Cloud Computing, Intrusion Detection System, Mr GA-BP Mean Method, Hadoop