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标题:Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel
时间:2019-01-11 22:52:00
DOI:10.1007/978-981-10-6442-5_2
作者:Junhua Ku;Bing Zheng
出版源: International Symposium on Parallel Architecture ,2017
摘要:Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kerneldoi:10.1007/978-981-10-6442-5_2In our everyday life, intrusion detection system(IDS) becomes a promising area of research in the domain of security. With the rapid development of network-based services, IDS can detect the......
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目录:
  • Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel
    • Abstract
    • 1 Introduction
    • 2 Background
      • 2.1 Extreme Learning Machine (ELM)
      • 2.2 Self-adaptive Differential Evolution
    • 3 Model of Proposed SADE-KELM Algorithm
    • 4 Intrusion Detection Using SADE-KELM
      • 4.1 Dataset Description
      • 4.2 Intrusion Detection System Using SaDE-ELM
    • 5 Simulation Results
    • 6 Conclusion
    • Acknowledgement
    • References

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