Data management and control method, device, computer equipment and storage medium

A data control and data technology, applied in the computer field, can solve the problem of low detection accuracy of abnormal flow data, and achieve the effect of improving detection accuracy, ensuring data balance, and simple detection method.
CN109194539BActive Publication Date: 2022-01-28CHINA PING AN LIFE INSURANCE CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA PING AN LIFE INSURANCE CO LTD
Publication Date
2022-01-28

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Abstract

The present invention relates to the field of computer technology, and provides a data management and control method, device, computer equipment, and storage medium. The method includes: by obtaining the data to be accessed in the access request of the target interface, according to the token bucket algorithm, calculating the allowed data of the target interface. The target access data for access, and record the actual flow data when the target access data passes through the target interface, compare the actual value of each flow parameter in the actual flow data with the standard value, and compare the flow parameters with the actual value less than or equal to the standard value and The corresponding actual value is marked as safe flow data, and the predicted value of each flow parameter in the safe flow data is calculated, and the difference between the actual value and the predicted value of each flow parameter is calculated, if the difference is greater than the preset target threshold, it is determined that the safe traffic data corresponding to the difference is abnormal traffic data. Improve the detection accuracy of abnormal flow data.
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Description

technical field

[0001] The present invention relates to the field of computer technology, in particular to a data management and control method, device, computer equipment and storage medium. Background technique

[0002] Due to the limited load capacity of the network interface, in order to ensure the balance of traffic on the interface, reduce the burst traffic data on the interface, and prevent unexpected requests from frequently calling the network interface in advance, the interface pressure is too large and the network system is dragged down, especially When large concurrent traffic data is accessed, it is easy to cause the collapse of the network interface. It is necessary to monitor the network interface, identify abnormalities, give early warning in time, and relieve the pressure on the interface.

[0003] However, some traditional anomaly detection methods can only simply identify the size of the total traffic data, and cannot distinguish which part of the traffic ...

Claims

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