A Model of an Intelligent Agent for Classifying Malicious Software Using Fuzzy Logic

The article considers the model of an intelligent agent in the structure of a multi-agent system for the detection and analysis of polymorphic malware. Due to the fact that clearly identifying and classifying polymorphic viruses is a rather difficult task and classification is carried out under conditions of uncertainty, therefore the solution of this problem involves the use of artificial intelligence technologies, namely fuzzy logic (fuzzy classification). The advantage of this approach is the ability to classify polymorphic malware by levels of complexity, taking into account belonging to vague terms (probabilities) at the level of low, high low, medium, high medium and high.