Design And Implementation Of Security Department Counter-Terrorism Intelligence Platform Based On Big Data

With the leap of science and technology,the age of big data has come quietly and accelerated to form a vigorous development.Although the big data seem different and far from life,they actually bring about great changes to the world.It enables the world data technology to realize the innovation of The Times;To make people’s lives easier and more efficient;Promote the development of various fields in the real world to be greatly improved;To accelerate the integration of the world into global integration.Big data will be invaluable in the future.In the whole development process of the world,people als o present some new problems.Terrorism,as a non-traditional security issue,has become a global hazard and poses a serious threat to our country.How to deal wit h terrorism in an efficient and secure manner is of great practical significance to actively c ombating terrorist forces and effectively dealing with acts of terrorist and comprehensively preventing and controlling terrorist attacks.In this paper,the design and implementation of counter-terrorism intelligence platform based on big data is the research direction.How to provide real-time,reliable,and effective information about terrorism for the security department.On the basis of comprehensive investigation and analysis on the establishment,system,information construction and existing platform construction of the security department’s counter-terrorism intelligence system.The main work done in this paper is as follows:The first,the definition,characteristics and development of big data are discussed.The main big data technology Hadoop,No SQL,tf-id and Mongo DB were analyzed and introduced in this paper.The second,according to the practical needs of the security department,the demand for intelligence function and performance under the condition of big data is given.Overall analysis and plan ning of the platform.The third,design the platform and build the platform model.This paper mainly introduces the design of the three subsystems of investigation,analysis and service of the three subsystems.The Fifth,Introduced the platform implementation technology,including the implementation of the query performance of Mongo DB and the implementation of the tf-idf algorithm under Hadoop and the performanc e analysis.Finally,the test results and analysis are given.