The document summarizes an efficient intrusion detection system using Relevance Vector Machine (RVM). It begins with an introduction to intrusion detection and types of attacks. Then it discusses related work using data mining techniques like SVM for intrusion detection. The proposed methodology preprocesses data from the KDD Cup 99 dataset, performs normalization, and classifies using RVM. RVM can provide sparse solutions and inferences with low computation. Experimental results on the KDD Cup 99 dataset show the technique achieves higher detection rates than regular SVM algorithms.