Research of intrusion detection method based on rough set and adaptive boost

This paper proposes an intrusion detection method combining rough set with ADA-boost algorithm. In virtue of the ability rough set has to decease the amount of data and get rid of redundancy, the method can reduce the a-mount of ADAboost' training data used and improve running speed. Adaboost is a learning al-gorithm for constructing accurate classifiers. It can obtain a strong learning algorithm by combining a series of weak learning algorithms through some rules. The result of the experiment shows that this model has high detection rate.