Big-Data Analysis of Multi-Source Logs for Network Anomaly Detection
He Wang · 2018
In this paper, a Spark-based big data cluster is built to analyze the large-scale multi-source log data and to detect computer and network abnormal behaviors. By developing and assembling data mining, machine learning, and statistical analysis technologies, the large-scale log data can be quickly analyzed, and the abnormal attack behaviors can be accurately recognized.