基于大数据技术的网络异常行为分析监测系统

Network Abnormal Behavior Analysis and Monitoring System Based on Big Data Technology

大数据技术的良好发展,提高了海量数据的总体处理能力,针对实时数据流进行全面细致的检测,充分挖掘历史数据,有效检测非基于特征的异常行为,将能够更好地应对一些复杂度高、隐蔽性高的攻击行为,保障人们的网络安全。因此,主要从网络异常行为分析监测系统的总体目标入手,针对网络异常行为分析监测系统的架构设计和功能模块情况进行全面细致的分析和介绍,并重点阐述了一些关键性技术。

The good development of large data technology has strengthened the overall processing ability of massive data,carried out comprehensive and meticulous detection of real-time data flow,fully excavated historical data,and effectively detected non feature based abnormal behavior,and would be able to better risk some aggressive behavior with high complexity and concealment. Our network is safe. This paper,starting with the overall objective of the network abnormal behavior analysis and monitoring system,analyzes and introduces the architecture design and functional modules of the network abnormal behavior analysis and monitoring system,and focuses on some key technologies.