FTAM leverages the threat characterization from established threat assessment models, while focusing on improving its assessment capabilities by using Fuzzy Logic. Through this methodology, FTAM is able to improve the efficiency and accuracy of the threat assessment process to determine the “degree” of the threat.
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The evaluation system is developed for network attack effect in this paper, and present the process from launching an attack to the result of evaluation being ...
In this paper, we propose to utilize Fuzzy Inference Model (FIS) to produce risk assessment result based on the four risk factors which are: vulnerability, ...
The method of information security risk assessment in the IIoT, based on the mathematical apparatus of fuzzy set theory, is proposed. This paper analyzes ...
A risk assessment method based on multi fuzzy systems is proposed for assessing cyber threats which evaluates cyber security risk as a function of risk ...
Keywords: Big data; Network security; Fuzzy evaluation; Risk assessment. 1 ... Analysis of problems in computer network security under the background of big data ...
A network evaluation model and the corresponding fuzzy algorithm are presented and adapt the hierarchical method to characterize the security risk situation.
In this paper a risk assessment method based on multi fuzzy systems is proposed for assessing cyber threats. This method evaluates cyber security risk as a ...
Oct 18, 2023 · This paper analyzes information security threats for IIoT systems, from which the most significant criteria are selected. The rules, based on ...
This application gives security personnel a launching point to determine where security holes exist and a snapshot of the threats that exist in a system.