Abnormal flow detection method, device, equipment and storage medium
A technology of abnormal traffic and detection methods, applied in the computer field, can solve problems such as low efficiency, easy failure, and many rules
Active Publication Date: 2021-07-06
BEIJING XUEZHITU NETWORK TECH
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Problems solved by technology
At present, the monitoring of abnormal traffic is mainly carried out manually and related rules. Among them, manual abnormal data traffic detection is extremely dependent on the professional knowledge of relevant personnel, and the efficiency is low, and the relevant rules are standardized definitions of manual experience. , the rules are many and cumbersome, only a very small part of abnormal data traffic can be found, the recognition accuracy is low, and it is very easy to fail
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[0029] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
[0030] In the description of the present application, the terms "first", "second" and the like are only used for distinguishing descriptions, and do not represent sequence numbers, nor can they be understood as indicating or implying relative importance.
[0031] In the description of the present application, the terms "comprising", "comprising", etc. indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, steps, operations, The presence or addition of elements, components and / or collections thereof.
[0032] In the description of this application, unless otherwise specified and limited, the terms "installation", "setting", "equipped with", "connected" and "configured to" should be interpreted in a broad sen...
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The embodiment of the present application provides an abnormal flow detection method, device, equipment and storage medium. The abnormal flow detection method includes: obtaining the flow data to be detected; and screening out the initial abnormality from the flow data to be detected according to preset rules account; constructing the relationship network model of the initial abnormal account; based on the relationship network model, respectively generating local communities corresponding to each of the initial abnormal accounts; merging and clustering the local communities to obtain no more than the first A preset number of target communities; according to the relationship network model, search for target abnormal accounts meeting preset conditions in the target communities. The present application realizes improving the recognition rate and accuracy rate of abnormal flow detection.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular, to an abnormal flow detection method, device, equipment and storage medium. Background technique [0002] With the popularity of mobile terminal devices such as smartphones and tablets, APP (Application, third-party application program) clients have gradually become the main way for people to surf the Internet. Advertisers are increasingly using these APPs as carriers for advertising. To achieve the purpose of product promotion and increase revenue. At the same time, abnormal advertising traffic such as traffic fraud and malicious clicks emerged as the times require. At present, the monitoring of abnormal traffic is mainly carried out manually and related rules. Among them, manual abnormal data traffic detection is extremely dependent on the professional knowledge of relevant personnel, and the efficiency is low, and the relevant rules are standardized definitions ...
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IPC IPC(8): H04L29/06G06K9/62
CPCH04L63/1425G06F18/231G06F18/2321G06F18/22
Inventor 张轲祺闫峰卫海天
Owner BEIJING XUEZHITU NETWORK TECH