Abstract
The article presents a method of abuse detection functionality of the most common open source http-servers Nginx and Apache, which currently implement a full web stack and serve more than 60% of traffic on the Internet. The proposed method is based on the application of the mathematical apparatus of fuzzy set theory and fuzzy inference to the selected analysis parameters corresponding to the properties of a logical cyber attack that realizes the vulnerability of web server data. To obtain the most accurate results of fuzzy inference the direction of adaptation of membership functions to the conditions of server operation (changes on the server and analysis of client behavior) based on the application of the mathematical apparatus of genetic algorithms is determined.
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