Open AccessResearch and simulation of network security situation prediction algorithm
Author(s) -
Zhengmao Li,
T. Ma,
YongWu Zhou,
Xianhui Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012051
Subject(s) - computer science , network security , kalman filter , key (lock) , algorithm , data mining , basis (linear algebra) , artificial immune system , machine learning , artificial intelligence , computer security , mathematics , geometry
Monitoring and predicting the security state of network environment is the key to solve network security. On the basis of studying the principle of network security situation awareness, a network security situation prediction model based on artificial immunity and Kalman algorithm is designed according to the artificial immunity evaluation model. First, Wireshark software was used to analyse DARPA99 dataset. Then, the situation value was obtained by using the artificial immune evaluation model. In the Curver Fitting Tool, the Kalman algorithm is written to achieve the optimal prediction of the situation value. The test results show that the model has a good prediction effect.