Applying Xfuzzy for the Development of Fuzzy Logic-Based Anomaly Detection Systems in Network Security: Moroccan Agribusiness SME

In this article, we present the development and implementation of a fuzzy logic-based anomaly detection system specifically tailored for a Moroccan agribusiness SME.The primary objective is to enhance network security by accurately identifying anomalous network activities that could indicate potential cyber threats.The study's practical case involves a detailed analysis of the SME's network, focusing on key segments such as the Office LAN, Production Network, External WAN, and ERP System.Our methodology includes collecting and preprocessing network traffic data, designing the Fuzzy Inference System (FIS) using Xfuzzy, constructing a comprehensive rule base, and validating the system through simulation.The results indicate the system's effectiveness in detecting network anomalies.This study underscores the potential of fuzzy logic systems in enhancing network security for agribusiness SMEs, providing a robust framework for anomaly detection.