RVM assessment model for computer network attack

Assessment for computer network attack is a technology for assessing hostile attacks against computer network system. In the paper, relevance vector machine is applied to assessment for computer network attack. Compared with support vector machine assessment method, the RVM method can provide better classification accuracy. The experimental data collected in the paper include U2R attack, R2L attack, Probe attack and DoS attack. It can be seen from the experimental results that it is an effective model for assessment of network attack.