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ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009
Indexed in
A COMPUTER NETWORK INTRUSION DETECTION TECHNOLOGY BASED ON IMPROVED NEURAL NETWORK ALGORITHM
Краткое описание
In order to resist the network malicious attack, Back-Propagation (BP) neural network was improved by particle swarm optimization (PSO) algorithm. Then the simulation analysis was carried out in the MATLAB software. The results showed that the improved BP algorithm converged faster and the error was smaller when training the algorithm; compared with BP, PSO-BP had higher accuracy and precision and lower false positive rate, and it also had better detection performance when the size of training samples was small. In summary, PSO-BP can be used for the detection of network intrusion threats.
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