DocumentCode :
2900353
Title :
Fuzzy Risk Assessment of the Network Security
Author :
Zhao, Dong-mei ; Wang, Jing-hong ; Ma, Jian-feng
Author_Institution :
Inf. Technol., Hebei Normal Univ., Shijiazhuang
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
4400
Lastpage :
4405
Abstract :
A risk assessment method is introduced to the estimation of network security. The method, which combines AHP method and fuzzy logical method, is applied to the risk assessment. AHP method and fuzzy logical method are improved according to the actual condition of the risk assessment of network security. Each risk factor is estimated in the aspect of the probability, the impact severity and uncontrollability. The important degree of each risk factor is obtained. By comparing the important degree of each factor, which risks will be controlled by some means are known. On the other hand, by applying entropy-weight coefficient, the risk degree of the whole network system is obtained, the method of entropy-weight coefficient is applied to objective computation, and subjective judgment is overcome. The study of the case shows that the method can be easily used to the risk assessment of the network security and its results conform to the actual situation
Keywords :
computer networks; decision making; fuzzy logic; fuzzy set theory; probability; risk management; security of data; telecommunication security; AHP method; decision making; entropy-weight coefficient; fuzzy logical method; network security; probability; risk assessment; Computer networks; Computer science; Computer security; Cybernetics; Entropy; Fuzzy logic; Information security; Information technology; Machine learning; Risk analysis; Risk management; Switches; AHP method; Entropy-weight coefficient; Fuzzy logical method; Risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.259092
Filename :
4028847
Link To Document :
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