Real Time Anomaly Intrusion Behavior Detection in Networks Based on Big Data Analysis
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.
big data analysisnetwork anomalyintrusion detection
万方数据
维普
