Network behavior risk perception and defense method based on behavior characteristic big data analysis

Abstract

The invention relates to a network behavior risk perception and defense method based on behavior characteristic big data analysis. The network behavior risk perception and defense method comprises five steps of risk assessment server hardware configuration, risk assessment server software configuration, data risk assessment, risk elimination and recovery and data updating. According to the invention, on one hand, effective monitoring and management among all levels of hardware equipment participating in network data transmission can be effectively realized; on the other hand, the initiative ofillegal data information identification and detection operation and the working efficiency and precision of the detection operation are effectively improved; and relevant illegal data information sources can be correspondingly limited and managed, so that the working efficiency and quality of network data transmission detection are effectively improved, and data propagation threatening the network security can be completely eradicated from the source.

Description

technical field [0001] The invention relates to a network behavior risk perception and defense method based on behavior characteristic big data analysis, and belongs to the technical field of network security. Background technique [0002] At present, with the promotion and application of network information technology, many business activities need to be carried out on the basis of the network. At the same time, it also leads to a large number of data such as Trojan horses and malicious scripts that threaten the security of network operation and related laws and regulations such as violence, pornography, etc. Illegal data information that is likely to cause adverse social impact and information that threatens network security are widely spread in the network, which seriously affects the security and reliability of network data communication, and is likely to cause great negative social impact and seriously affect social health. Orderly development, in response to this probl...

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Problems solved by technology

[0002] At present, with the promotion and application of network information technology, many business activities need to be carried out on the basis of the network, which also leads to a large amount of data that threatens the security of network operation such as Trojan horses and malicious scripts, and relevant laws and regulations such as violence, pornography, etc. Illegal data information that is likely to cause adverse social impacts and information that threatens network security is widely disseminated in the network, which seriously affects the security and reliability of network data communications, and is likely to cause great negative social impacts and seriously affect social health. Orderly development, in response to this problem, although a variety of technical means are currently used to monitor the network data in the network server, in order to timely discover and stop the data transmission that threatens the normal development of network activities, but in the actual network data communication work Among them, the amount of data communication is extremely large, and there are many devices participating in network communication and the distribution range is wide. As a result, on the one hand, the current monitoring of network data risk information is inefficient, and it is impossible to carry out effective and proactive identification and monitoring before risk events erupt. Defense. On the other hand, the current monitoring and perception of risk events in the network often only stays at the server level. Therefore, the monitoring accuracy and efficiency are relatively low, and it is easy to miss detection and bypass the server. The lack of effective supervision of data during point-to-point data interaction, resulting in the fact that the current network data transmission detection operation cannot effectively meet the needs of actual work

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