Title: Research on network security defence based on big data clustering algorithms

Authors: Jianchao Zhao

Addresses: Henan Polytechnic Institute, Nanyang, Henan, 473009, China

Abstract: To improve the security of network in big data era, the improved clustering algorithm is applied to carry out network security defence. Firstly, application of large data clustering algorithms in network security defence is analysed. Secondly, network security defence model is studied, and corresponding mathematical model is designed. Thirdly, the improved clustering algorithm based on big data is established through analysis text requirements and data characteristics. Finally, simulation analysis is carried out, and the effectiveness of the proposed algorithm is verified. The theory analysis results show that the proposed model can provide the theoretical basis for designing network information security defence system.

Keywords: network security defence; big data; improved clustering algorithm.

DOI: 10.1504/IJICS.2021.116931

International Journal of Information and Computer Security, 2021 Vol.15 No.4, pp.343 - 356

Received: 28 Nov 2019
Accepted: 20 Apr 2020

Published online: 28 Jul 2021 *

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