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网络已经成为当今社会建设与发展的重要基础建设,然而蠕虫、病毒等恶意代码对网络的正常运行造成严重的冲击和危害,造成巨大的损失。因此实现在网络环境的实时监控,迅速检测和掌握恶意代码发作情况对于防范恶意代码的破坏,降低其造成的损失具有重要的意义。本文提出了一种新的基于层次化结构的网络异常监控模型,它采用分层,跨平台的分布式监测,集中监控数据分析的系统结构,拥有具有良好系统监控策略配置能力和系统扩展性。
The Internet has become an important infrastructure for the construction and development of today’s society. However, malicious codes such as worms and viruses cause serious impact and harm to the normal operation of the network, resulting in huge losses. Therefore, it is of great significance to realize real-time monitoring in the network environment and detect and grasp malicious code attacks rapidly to prevent the destruction of malicious code and reduce the losses caused by malicious code. In this paper, a new model of network anomaly monitoring based on hierarchical structure is proposed, which adopts hierarchical and cross-platform distributed monitoring, centralized monitoring system structure of data analysis, possesses good system monitoring and control strategy configuration ability and system scalability.