Affiliations: College of Computer Science, Jiangxi University of Engineering, Xinyu, Jiangxi, China
Correspondence:
[*]
Corresponding author: Zhicheng Wen, College of Computer Science, Jiangxi University of Engineering, Xinyu, Jiangxi, China. Tel.: +86 15873372746; E-mail: zcwen@mail.shu.edu.cn.
Abstract: Network Security Situation research has become a hot topic in the field of network security, which is expected to solve the network security and management issues. Aiming at the problem of the current security situation of anomaly detection of the time and space complexity is high and not easy to operate, is presented in this paper by collecting a set of network security situation observed samples, detection of network security situation is a feasible method for anomaly by using probability interval, and can predict the variation trend of the current security situation and the abnormal degree, and provide a reliable basis for the network administrator to define decision making and defensive measures, to nip in the bud. Finally, using the simulation data, the abnormal interval estimation and detection algorithm of network security situation is conducted to verify the proposed, results show that the method is correct and has simple and feasible.
Keywords: Network security situation, anomaly detection, interval estimation, probability test
