Abstract: hhe intrusion detection system deals with huge amount of data which contains redundant and noisy data eau- sing slow training and testing process,high resource consumption as well as poor detection rate. This paper proposed a lightweight intrusion detection method. This method adapts fast correlation based features selection (FCI3F) to reduce redundant and noisy data and compress data using principle component analysis (PCA). Experiments results demon- strate that the proposed method is efficiency in reducing the amount of data to be treat of and suitable for intrusion de- tection system

Key words: FCBF, PCA, C4. 5 deciding tree