Abnormal object recognition method and device and storage medium

An object recognition and object technology, applied in the field of data processing, can solve problems such as low accuracy rate, high security risk of IoT cards, and single judgment method, so as to reduce economic losses, shorten abnormal identification time, and reduce security risks Effect

Active Publication Date: 2019-03-26
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, simply relying on the comparison of thresholds to identify whether the IoT card has been stolen, the judgment method is single, and the accuracy rate is low, resulting in a high security risk for the IoT card

Method used

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  • Abnormal object recognition method and device and storage medium
  • Abnormal object recognition method and device and storage medium
  • Abnormal object recognition method and device and storage medium

Examples

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Embodiment 1

[0037] An embodiment of the present invention provides a method for identifying abnormal objects. Please refer to figure 1 , the method includes the following steps:

[0038] S102. Process and classify the initial data to obtain a training set and a verification set, wherein the training set includes positive samples and unknown samples, the verification set includes positive samples, and the positive samples are behavior data samples of known abnormal objects.

[0039] The initial data involved in the embodiment of the present invention is behavior data. The positive samples are known behavior data samples of abnormal objects, the negative samples are known behavior data samples of normal objects, and the unknown samples may be positive samples and / or negative samples.

[0040] S104. Use the training set to train the prediction model, and use the verification set to verify the trained prediction model to obtain at least one target prediction model.

[0041] This step essen...

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Abstract

The invention provides an abnormal object recognition method and device and a storage medium. The method comprises the following steps of: obtaining a sample; processing and classifying the initial data; obtaining a training set and a verification set; wherein the training set comprises a positive sample and an unknown sample; wherein the verification set comprises a positive sample; wherein the positive sample is a known behavior data sample of an abnormal object; and then, training a prediction model by using the training set, verifying the trained prediction model by using the verificationset to obtain at least one target prediction model, and further performing identity prediction on a to-be-identified object by using the at least one target prediction model to determine whether the to-be-identified object is an abnormal object. According to the method provided by the invention, the identification accuracy of the abnormal use condition of the Internet of Things card is improved, so that the security risk of the Internet of Things card is reduced.

Description

technical field [0001] The invention relates to data processing technology, in particular to a method and device for identifying abnormal objects, and a storage medium. Background technique [0002] IoT cards are generally used to meet specialized communication needs and are implemented with dedicated number segments. However, IoT cards are often stolen. [0003] At present, it is judged whether it has been stolen through the data abnormality of the IoT card. The specific method is to compare the statistical data with the threshold value of the statistical data, judge whether the use data of the Internet of Things card is used abnormally according to the comparison result, and if so, determine that the Internet of Things card has been stolen. [0004] However, simply relying on the comparative judgment of the threshold value to identify whether the IoT card has been stolen, the judgment method is single, and the accuracy rate is low, which leads to the high security risk o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06K9/62
CPCG06F18/2411G06F18/214
Inventor 张溶芳唐军杨宇帆周亚东
Owner CHINA UNITED NETWORK COMM GRP CO LTD
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