Botnet recognition method based on fuzzy classification

The internet has quickly become one of the primary means of communication in our society. Various types of network applications more and more, it also increases the risk of security of internet users. Botnets also one of the security risks, in order to prevent this danger or threat, we have to detect them and prevention. In this study, we use fuzzy algorithm to identify botnet, this algorithm is simple and has high testing speed and efficiency. In the experiment, we consider the various types of botnet attacks, the development of appropriate classification blur detection algorithm, the final evaluation.