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.
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 *