A network security situational awareness system for text classification. Issue 1 (1st October 2022)

• Record Type: Journal Article
• Authors: Pang, Xiaojian; Su, Yang; Tao, Wenwei; Hu, Zhaohui; Chen, Haiguang
• Is Part Of: Journal of physics. Volume 2358:Issue 1(2022)
• Publication Date: 2022-10-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2358/1/012012
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract : The evaluation function of the existing network security situational awareness system is not perfect and often causes large average absolute errors. Therefore, a network security situational awareness system for text classification is designed. The hardware part selects the sensor main control chip and connects the circuit power supply to ensure the safe and stable operation of the whole system. In the software part, the data packet information is collected and processed to remove the data noise, and the information extraction technology is used to construct the classification model of this paper. The network abnormal behavior is identified according to the host log, the data characteristics of security behavior are extracted, and the system module evaluation function is set according to the extraction results. The experimental results show that the average absolute error of the designed system is less than that of the other three existing systems, and the performance of the security situational awareness system is better.