近年来，网络建设水平提升到了一个更高的层次。针对海量的数据，如何从整体上动态反映网络安全状况，并对网络安全的发展趋势进行预测和预警是目前的难题。文章提出利用大数据技术特有的海量存储、并行计算、高效查询等特点，为大规模网络安全态势感知技术的突破创造机遇。借助大数据的处理、分析能力对成千上万的网络事件等信息进行自动分析与深度挖掘，可以对网络的安全状态进行分析评估，感知网络中的异常事件与整体安全态势，并对未来安全态势进行预测。%In recent years, the network construction level has been raised to a higher level. For massive data, how to dynamically reflect the overall situation of network security, and forecast the development trend of network security is the current problem. This paper proposes the use of big data technologies such as mass storage, parallel computing, efifcient query. For large-scale network security situation has created opportunities of technology breakthrough. By the big data processing and analysis capacity, tens of thousands of network events and other information are processed by automatically analysis and depth mining.We can analysis and evaluate the network security state, perception of exceptional event and overall security situation, and forecast the future security situation.
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