Network object and event integral monitoring method based on GIS (Geographic Information System) super cloud computing

Abstract

The invention relates to a network object and event integral monitoring method based on GIS (Geographic Information System) super cloud computing. The method comprises the following steps: establishing a GIS super computing system; 2, expanding the data structure of a GIS system, and establishing a network monitoring spatial database; 3, acquiring the IP (Internet Protocol) address and network property information of a network object and an event by means of multi-mode combined search, and storing the IP address and the network property information in the network monitoring spatial database; and 4, performing spatial data mining and model analysis on a network monitoring database, and establishing a network safety pre-warning and management mechanism. Through the integral monitoring method, network big data is processed by using a super computer and a cloud GIS system, the spatial location information and the network property information of the network object are bound and stored in an expanded GIS data structure, the online and offline rules of the network object and behaviors are grasped through integrated IP locating, network search, data mining and spatial analysis, and dynamic monitoring is performed to combat and prevent network illegal behaviors, so that safety management of Internet is realized.

Description

【Technical field】 [0001] The invention relates to the field of network information security, in particular to an integrated monitoring method for network objects and events based on supercomputers, GIS cloud computing and expanded GIS data structures. 【Background technique】 [0002] With the rapid development of the Internet, online violations and emergencies emerge one after another, causing serious harm to national security, social stability, and the interests of the people. . At present, network monitoring technology mainly includes IP address positioning based on routing registry, network public opinion analysis, etc. However, the above-mentioned technologies lack the functions of network search and automatic identification and real space positioning capabilities of complex network events for large-scale network objects and events. Although GIS (Geographic Information System) has been used in network resource management and mapping, it only involves physical objects an...

AI Technical Summary

Problems solved by technology

At present, due to the lack of efficient network search and automatic identification technology, it is impossible to obtain network-related data distributed over time and space, and there is no spatial positioning technology that truly combines complex IP. It is difficult to effectively carry out spatial positioning and prevention monitoring for network emergencies.

[0004] Since the retrieval, processing and analysis of network violations and emergencies involves large-scale web pages, pictures, videos and other types of data, based on traditional data processing and management technologies, it has been unable to meet the efficiency and real-time requirements of big data processing. , there is an urgent need for an effective combination of supercomputer and cloud computing technology with the retrieval and analysis of network emergencies

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