Big data abnormal flow detection method and system applied to integral system

A technology of abnormal traffic and detection methods, applied in the field of big data, can solve problems such as insufficient to deal with new hacking techniques

Pending Publication Date: 2021-01-29
翼集分(上海)数字科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the credit system, due to the large number of various types of business systems, the corresponding security levels and security countermeasures are also different. Conventional firewall-like unified protocol, port and other rule prevention measures are not enough to deal with more and more new hackers technology

Method used

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  • Big data abnormal flow detection method and system applied to integral system

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Embodiment Construction

[0010] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0011] see figure 1 , in the implementation example of the present invention, a large data abnormal traffic detection method and system structure diagram applied to the credit system, including a traffic log collection module (1), a traffic big data analysis and processing module (2), an abnormal traffic detection module ( 3), Abnormal traffic monitoring and management module (4) and main business processing flow.

[0012] 1. Traffic log collection module (1)...

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Abstract

Disclosed is a service system applied to integrals. The system comprises the steps of acquiring service access flow information (such as an access flow log) of each service system in real time for anintegral service system, performing real-time analysis processing through big data, performing behavior classification, analysis and other processing on the flow log, performing matching in combination with an abnormal flow detection model, and performing judgment, identification and alarm on abnormal flow. The system comprises a flow log collection module, a flow big data analysis processing module, an abnormal flow detection module, an abnormal flow monitoring management module and a main service processing flow.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method and system for detecting abnormal flow of big data applied to a point system. Background technique [0002] With the continuous development of Internet technology and business, network security problems occur frequently, causing more and more business failures and economic losses. Network security has gradually become an issue that people are more and more concerned about. In the credit system, due to the large number of various types of business systems, the corresponding security levels and security countermeasures are also different. Conventional firewall-like unified protocol, port and other rule prevention measures are not enough to deal with more and more new hackers technology. Especially for abnormal access that has been mixed into the normal business flow, it is necessary to improve the detection technology and carry out in-depth real-time detection, identifi...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): H04L29/06H04L12/24
CPCH04L63/1425H04L63/1441H04L41/0631H04L41/069H04L41/145
Inventor蒋敬洪汪哲张涌
Owner翼集分(上海)数字科技有限公司