Designing a Fuzzy Expert System to Investigate the Impact of Biometric Indicators and Radio Waves on Authentication

Due to the increasing importance of identity recognition to increase the security of organizations, the importance of identity recognition methods such as biometric indicators and radio waves is also increasing. The purpose of this research was to provide a systematic way of improving authentication based on radio waves and biometric index using a fuzzy expert system for use in the field of information and communication security (cyber security). In this research, the impact of biometric indicators and radio waves on the improvement of identity authentication was investigated, and finally, a fuzzy expert system was designed, which showed the impact on each of the components. The population studied in this research included experts in the field of biometric indicators and radio waves of Tehran municipality. The results of the research showed a correlation between all research variables, and considering the high correlation, it can be said that by managing the security of the components of radio waves, it is possible to improve authentication based on identification through radio waves. The expert system for improving authentication based on identification through radio waves and biometric index can help managers to make decisions related to the issues of improving authentication, lead to improving the efficiency of decision making in improving authentication through radio waves and biometric index, and also make it more effective.