A Kind of Malicious Code Detection Scheme Based on Fuzzy Reasoning

摘要

This thesis presents a malicious-degree decision system based on dynamic fuzzy neural network. Integrated with fuzzy reasoning and neural network in artificial intelligence, this system gives a comprehensive evaluation such as malicious-degree by analyzing the behaviors of unknown code. This method is compared with simple and multiple Bayes in the end. The experimental results and comparison show that this decision system can achieve good results in detecting polymorphic and unknown viruses.