The Design of Improved Elman Network Intrusion Detection Algorithm in Digital Campus Network

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 2096-2099
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.2096
• Online since: October 2014
• Authors: Jing Jing Wang*
• Keywords: Digital Campus, Elman Network, Intrusion Detection

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