The Research of Network Intrusion Detection Technology Based on Genetic Algorithm and BP Neural Network

Abstract:

The traditional BP neural network algorithm is applied to intrusion detection system, detection speed slow and low detection accuracy. In order to solve the above problems, this paper proposes a network intrusion detection algorithm using genetic algorithms to optimize neural network weights. which find the most suitable weights of BP neural network by the genetic algorithm, and uses the optimized BP neural network to learn and detect the network intrusion detection data. Matlab simulation results show that the training sample time of the algorithm is shorter, has good intrusion recognition and detection effect, compared with the traditional network intrusion detection algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 599-601)
• Pages: 726-730
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.599-601.726
• Online since: August 2014
• Authors: Gang Ke, Ying Han Hong*
• Keywords: BP Neural Network (BPNN), Genetic Algorithm (GA), Intrusion Detection

References

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