Open AccessNetwork Situation Assessment of Host Node Based on Improved D-S Evidence Theory
Author(s) -
Liangyuan He,
Tao Wan,
Chuanlin Zhang,
Fei Xia,
Sheng Wang,
Yajie 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 - 10.1088/1742-6596/1738/1/012091
Subject(s) - weighting , host (biology) , node (physics) , computer science , fuzzy logic , function (biology) , order (exchange) , network security , matrix (chemical analysis) , process (computing) , data mining , artificial intelligence , operations research , computer security , mathematics , engineering , business , physics , ecology , materials science , structural engineering , finance , evolutionary biology , acoustics , composite material , biology , operating system
In recent years, network security has become a hot spot of social concern. In order to avoid dependence on network training, improved D-S evidence theory is applied to the situation assessment of host. The fuzzy function is adopted to generate the BPA of the corresponding feature, and the weighting matrix is added to handle conflict evidences in the fusion process. Finally, the situation level of the host node is obtained. The effectiveness and feasibility of the method is proved by analyses of examples.