This paper proposes a real-time network anomaly intrusion detection method based on big data analysis.It uses support vector machines in big data analysis technology to build an anomaly intrusion detection model,takes network signals as input,and outputs network anomaly intrusion detection results through learning and training.The experimental results show that this method can effectively achieve network anomaly intrusion detection and distinguish the types of abnormal intrusion behaviors.
关键词
大数据分析/网络异常/入侵行为检测
Key words
big data analysis/network anomaly/intrusion detection
维普
万方数据