THE ENTERPRISE INFORMATION SECURITY RISK ASSESSMENT SYSTEM BASED ON FUZZY LOGIC

2019 ◽  
Vol 1 (1) ◽  
pp. 97-104
Author(s):  
Kochetkov A.V. ◽  
◽  
Gaur T.A. ◽  
Mashin V.N. ◽  
2011 ◽  
Vol 130-134 ◽  
pp. 3726-3730
Author(s):  
Ya Ling Yang ◽  
Yan Hui Zhou

Risk assessment for information security is uncertainty. To control these uncertainties is of great significance for effective risk assessment [1].There are many assessment methods, and the conclusions from them are less clear. This paper presents a fuzzy logic based information security risk assessment method FLISRAM. In this method, the results are from a comprehensive assessment for assets, threats and vulnerabilities of the information system.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wentian Cai ◽  
Huijun Yao

With the increasing complexity of the network structure and the increasing size of the network, various network security incidents pose an increasing threat to the security of computer systems and the network. Especially, in the network environment, the diversified intrusion methods and application environment make the security of the network more fragile. In order to improve information security, based on fuzzy rule sets, this paper proposes a fuzzy association rule mining algorithm based on fuzzy matrix and applies it to security event correlation. In addition, this paper combines the embedded system to construct an information security risk assessment system and sets the system performance based on the actual situation. Finally, this paper carries out experimental design to verify the performance of the system and analyzes the experimental results by mathematical statistics. From the experimental research, it can be seen that the system constructed in this paper has a certain effect.


Author(s):  
Александр Григорьевич Корченко ◽  
Берик Бахытжанович Ахметов ◽  
Светлана Владимировна Казмирчук ◽  
Егор Анатольевич Часновский

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