An operation behavior monitoring method, device, electronic device and storage medium

Abstract

The present application discloses an operation behavior monitoring method and device, an electronic device and a computer-readable storage medium. The method includes: acquiring target historical operation behavior data of a target user, and performing data analysis on the target historical operation behavior data according to different dimensions. Statistics in order to establish a multi-dimensional coordinate system; when receiving the target operation behavior, determine the target data item corresponding to the target operation behavior in each dimension, and determine whether there is a label point corresponding to the target data item in the multi-dimensional coordinate system; The density of the point is increased by one; if not, determine the label point corresponding to the target data item in the multi-dimensional coordinate system, and set the density of the label point to one; calculate each axis according to the density of all label points on each axis Corresponding center of gravity positions, target points are determined based on all the center of gravity positions, so as to safely monitor the target operation behavior according to the positions of the target points, and analyze the safety reliability of user behavior through a multi-dimensional coordinate positioning scheme.

Description

technical field [0001] The present application relates to the technical field of servers, and more particularly, to a method and apparatus for monitoring operation behavior, an electronic device, and a computer-readable storage medium. Background technique [0002] In the information age, tens of millions of users log in to various services through account passwords at every moment. However, due to the inherent openness and resource sharing of the network, the phenomenon of account passwords being illegally stolen frequently occurs. Especially when the account password of the network server or host is leaked, the server protected by the static password cannot identify the legitimacy of the user, which may cause huge risks and losses to the server owner and related enterprises and units. [0003] In the online payment scenario, the PrefixSpan association algorithm is used to perform sequence mining on user behavior, save it to the feature database, and then perform sequence m...

AI Technical Summary

Problems solved by technology

[0002] In the information age, tens of millions of users log in to various services through account passwords at all times. However, due to the inherent openness and resource sharing of the network, the phenomenon of account passwords being illegally stolen occurs from time to time.

Especially when the account password of the network server or the host is leaked, the server protected by the static password can no longer identify the legitimacy of the user, which may cause huge risks and losses to the server owner and related enterprises and units

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