Network big data traffic detection and analysis method

Abstract

The invention discloses a network big data traffic detection and analysis method. Comprising the following steps: S1, carrying out registration management and monitoring on network assets; s2, monitoring software and hardware assets; s3, monitoring the network equipment; s4, depicting the server and the terminal; s5, depicting a network protocol; s6, highlighting safety, monitoring innovation and supporting redevelopment; existing data center IT assets are integrated and monitored, the network transmission operation quality is improved, intelligent management and health standard reaching of the whole network are beneficial to modern digital transformation of the whole plant, the user application experience of the whole plant can be rapidly improved, the overall operation quality of the network is improved, power plant network emergencies and faults can be efficiently positioned, and the safety of the power plant is improved. And more extra time waste and blind labor of operators are reduced.

Description

Technical field [0001] The present invention belongs to the field of traffic detection technology, specifically relates to network big data traffic detection and analysis methods. Background [0002] The construction of smart power plants is a digital and intelligent process, informatization and networking are the basis for the interconnection of various systems and equipment, and the significance of an efficient, stable and safe network environment for the construction and operation of smart power plants is self-evident. Compared with the traditional network architecture, the number of information terminals, the amount of data transmission in smart power plants is larger, and the network risks are higher, which brings higher challenges to network operation and maintenance. [0003] In the face of the complexity and diversity of network equipment, the version compatibility of new and old equipment, protocol configuration, audit of internal and external network transmission behav...

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Problems solved by technology

[0004] For example, the authorized announcement number is CN104579823B, which discloses a network traffic anomaly detection system and method based on big data flow. Although it realizes real-time detection by adopting a distributed stream processing mechanism, and utilizes big data platform distributed storage, data calculation The ability to analyze, realize distributed storage of network data, and more accurately train the network data protocol feature library, but it does not solve the existing traffic detection that cannot detect hardware facilities, and cannot detect networks, servers, terminals, and protocols. , as well as the implementation of system expansion and security protection, etc., for this we propose a network big data traffic detection and analysis method

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