Research on Iolation Dtection Agorithm of Ntwork Itrusion Data 

Xuan Huang1,2

1School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, 330013, China 

2Faculty of Management, Nanchang University, Nanchang, 330031, China

Abstract: In terms of the network intrusion data isolation detection, the conventional isolation detection algorithm has disadvantages. The isolation detection accuracy is low and the isolation success rate is not high, so this paper proposes the research on isolation detection algorithm of network intrusion data. Based on the structure design of isolation detection algorithm, the anomaly detection mechanism of statistical analysis, neural network anomaly detection mechanism and data mining anomaly detection mechanism are constructed to realize the operation design of network intrusion data isolation detection algorithm. Relying on the process design of isolation detection algorithm and the parameter optimization of intrusion isolation detection algorithm, the isolation detection algorithm of network intrusion data is realized. The experimental data shows that the proposed isolation detection algorithm can improve the isolation detection accuracy by 45.17% and the isolation success rate by 26.6%, compared with the conventional isolation detection algorithm. It is suitable for the isolation detection of network intrusion data.

Keywords: Network intrusion; Data isolation; Detection algorithm; Isolation detection; Data mining; Anomaly detection