Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610006(2021)

Intrusion Detection Method of BP Neural Network Based on Crow Search Algorithm

Lan Lüying1, Tang Xianghong1,2,3、*, Gu Xin1, and Lu Jianguang1,2,3
Author Affiliations
  • 1Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang, Guizhou 550025, China
  • 2School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025, China
  • 3Stata Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China
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    References(16)

    [3] Chiba Z, Abghour N, Moussaid K et al. Novel network IDS in cloud environment based on optimized BP neural network using genetic algorithm. [C]∥Proceedings of the 3rd International Conference on Smart City Applications, Tetouan Morocco. New York, NY, USA: ACM(2018).

    [4] Zhu E Z, Liu D, Ye C C et al. Effective phishing website detection based on improved BP neural network and dual feature evaluation[C]∥2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Compu, 759-765(2018).

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    Lan Lüying, Tang Xianghong, Gu Xin, Lu Jianguang. Intrusion Detection Method of BP Neural Network Based on Crow Search Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610006

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    Paper Information

    Category: Image Processing

    Received: Jul. 3, 2020

    Accepted: --

    Published Online: Mar. 1, 2021

    The Author Email: Xianghong Tang (lanlym249@163.com)

    DOI:10.3788/LOP202158.0610006

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