Network security protection method for cloud service system

By calculating the differences parameters and similar index of user operation behavior data in the cloud service system, judging user abnormalities, the problem of low security of the cloud service system is solved, accurate identification and processing of abnormal users is realized, and system security is improved .

CN119299194AActive Publication Date: 2025-01-10SHANDONG WEIXUANKANG TECH INNOVATION CO LTD
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Patent Information

Application Number
CN202411449429.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-17
Publication Date
2025-01-10
Estimated Expiration
2044-10-17

AI Technical Summary

Technical Problem

It is difficult for the cloud service system to effectively detect whether the user's behavior status is abnormal, resulting in low system security.

Method used

By obtaining the target user's current operation behavior data and historical operation behavior data, calculate the difference parameters and similar index, combine the fusion results to determine whether the user is an abnormal user, and block the account if necessary.

Benefits of technology

Accurately detect abnormal users, improve system security, and prevent illegal operations.

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Abstract

The invention relates to the technical field of data processing, in particular to a network security protection method for a cloud service system, which comprises the following steps: acquiring current operation behavior data of a target user for a functional module of the cloud service system; determining a first difference parameter between the current operation behavior data and the historical operation behavior data according to the historical operation behavior data of the target user, the current operation behavior data and the operation duration change for each function module in the current operation behavior data and the historical operation behavior data; under the condition that the first difference parameter is greater than a preset first threshold value, calculating the similarity between a first category to which the functional module operated by the ith operation in the current operation behavior data belongs and a second category to which the functional module operated by the (i-1) th operation belongs, and obtaining a similarity index; and under the condition that a fusion result of the first difference parameter and the similarity index is greater than a preset second threshold value, determining that the target user is an abnormal user. According to the invention, abnormal users are effectively found.
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Citation Information

Patent Citations

  • Operation behavior safety auditing method and device

    CN111291334A

  • User abnormal behavior recognition method and device, equipment, storage medium and program

    CN113992340A

  • Cloud service automatic testing method, device, equipment and medium

    CN117675632A

  • Financial service application abnormal data online monitoring method and system

    CN118569871A

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    CN118573434A

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