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Online early warning method and system for abnormal use behavior of campus card

A campus card and behavior technology, applied in the field of computer information, can solve the problem of inability to realize online detection classification and early warning, and achieve the effect of improving detection and classification efficiency, interpretability, recall and precision.

Active Publication Date: 2021-08-13
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventor found that the methods for detecting and classifying abnormal use behaviors of campus cards in the prior art mainly include manual screening methods, detection and classification methods based on expert databases, and detection and classification methods based on neural networks. These methods fail to fully tap and utilize big data value, and it is mainly an offline detection and classification method, which cannot realize online detection, classification and early warning

Method used

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  • Online early warning method and system for abnormal use behavior of campus card
  • Online early warning method and system for abnormal use behavior of campus card
  • Online early warning method and system for abnormal use behavior of campus card

Examples

Experimental program
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Effect test

Embodiment 1

[0055] In this embodiment, consumption flow data is used as an example for introduction. It can be understood that usage behavior data can also be extended to various card swiping usage data, such as book borrowing data, dormitory entry and exit data, and so on.

[0056] Such as figure 1As shown, Embodiment 1 of the present disclosure provides an online warning method for abnormal usage behavior of a campus card, including the following process:

[0057] Through the variable time interval aggregation method of campus card consumption flow, the consumption flow is converted into consumption behavior samples, and the calibration consumption behavior sample set and the consumption behavior sample set to be tested are constructed;

[0058] Based on two types of consumer behavior sample sets, the online consumption behavior parallel detection and classification method with adaptive weight is used for periodic model training and online detection and classification with adaptive weig...

Embodiment 2

[0182] Embodiment 2 of the present disclosure provides an online early warning system for abnormal use of campus cards, including:

[0183] The data acquisition module is configured to: acquire the usage data of the campus card to be detected;

[0184] The data conversion module is configured to: convert the obtained campus card usage data to be detected into usage behavior sample data according to the aggregation model of variable time intervals;

[0185] The behavior classification module is configured to: obtain the campus card use behavior classification result according to the use behavior sample data and the preset classification model of adaptive weight;

[0186] The online early warning module is configured to: perform online early warning of abnormal usage behaviors according to the classification results of campus card usage behaviors.

[0187] The working method of the system is the same as the online early warning method for the abnormal usage behavior of the camp...

Embodiment 3

[0189] Embodiment 3 of the present disclosure provides a computer-readable storage medium, on which a program is stored. When the program is executed by a processor, the steps in the online warning method for abnormal usage behavior of a campus card as described in Embodiment 1 of the present disclosure are implemented.

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Abstract

The invention provides a campus card abnormal use behavior online early warning method and system, and belongs to the technical field of computer information, and the method comprises the following steps: obtaining the use data of a to-be-detected campus card; according to a variable time interval aggregation model, converting the acquired usage data of the campus card to be detected into usage behavior sample data; obtaining a campus card use behavior classification result according to the use behavior sample data and a preset classification model of an adaptive weight; and according to the campus card use behavior classification result, carrying out abnormal use behavior online early warning. According to the invention, the classification and early warning efficiency is improved, and the recall ratio and precision ratio of classification and early warning are effectively improved.

Description

technical field [0001] The present disclosure relates to the field of computer information technology, in particular to an online early warning method and system for abnormal usage behavior of a campus card. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Campus card is an important carrier for the work, study and life of teachers and students in colleges and universities. It not only carries transaction services such as dining, shopping, bathing, and shuttle buses, but also carries access authentication services for campuses, dormitories, classrooms, libraries and other places. Its main medium It is a physical campus card (M1, CPU) and a virtual campus card (QR code). [0004] During the use of campus cards, there are the following abnormal usage behaviors: cloning (the card is artificially copied), tampering (the information in the ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06K9/62
CPCG06Q30/0185G06F18/2433G06F18/24323Y02D10/00
Inventor 于磊磊张擎
Owner SHANDONG UNIV