Designing a collaborative detection system for detecting the threats to the cyber security in big data

In the season of big data, it is a trouble to be unraveled for empowering the solid development of the Internet and the Internet+, mindful the data security of people, foundations and nations. Along these lines, this manuscript makes a shared discovering arrangement of cyber security threats in big data. At first, it clarifies the record aggregate model of Flume, the data store of Kafka, and the data strategy of Esper; at that point it designs one-to-many record compilation, reliable data store, CEP data method utilizing episode query and occasion show comparing. Future execution of this structure comes about great consistency and high capability. Besides, this framework execution additionally comes about reward of low cost and bendy activity.