Study of Improved Curve Component Analysis-Based Campus Network Intrusion Detection Algorithm

Author(s):  
ZHAO Xi
2014 ◽  
Vol 1049-1050 ◽  
pp. 2096-2099
Author(s):  
Jing Jing Wang

With the development of digital campus network users, web users exhibit scale up, the campus network users to use different computer level each are not identical, uneven, a potential threat to network is more serious, campus network security has become an urgent need to solve the problem. In this paper, based on the neural network, the concept of Elman memory, and proposed an improved algorithm of Elman neural network, the realization of network intrusion detection. The experimental results show that, the algorithm can effectively improve the accuracy of network intrusion detection algorithm.


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