Computer Classification of Anomaly Intrusion Detection Based on Support Vector Machine
Juan Helen Zhou, Xiang Hua Chen · Applied Mechanics and Materials · 2013
With the wide application of computer and network technology, authentication, intrusion detection, virus detection, etc. have become the research hotspots in network security research. Starting from the intrusion detection problems, this paper presents and analyzes a classification method based on Support Vector Machine (SVM). Simulation results show that the proposed method has high reliability and good stability.