Intrusion Detection Model Based on GA Dimension Reduction and MEA-Elman Neural Network

  • Ze ZhangEmail author
  • Guidong Zhang
  • Yongjun Shen
  • Yan Zhu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 773)


Now people are using the network all the time, but the ensuing network attacks are constantly threatening people’s lives, so information security is becoming more and more important. In this paper, an intrusion detection model based on the MEA-Elman neural network is proposed. Firstly, GA algorithm is used to reduce the dimension of the dataset, and then verified by the MEA-Elman network model. The experiment results show that the detection model has high accuracy, which can meet the basic requirements of intrusion detection.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Ze Zhang
    • 1
    Email author
  • Guidong Zhang
    • 1
  • Yongjun Shen
    • 1
  • Yan Zhu
    • 1
  1. 1.School of Information Science and EngineeringLanzhou UniversityLanzhouChina

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