Operation behavior monitoring method, device, electronic equipment and storage medium

Abstract

The invention discloses an operation behavior monitoring method, a device, electronic equipment and a computer readable storage medium. The method comprises the steps: obtaining target historical operation behavior data of a target user, and carrying out the data statistics of the target historical operation behavior data according to different dimensions, so as to build a multi-dimensional coordinate system; when a target operation behavior is received, determining a target data item corresponding to the target operation behavior in each dimension, and judging whether a labeling point corresponding to the target data item exists in the multi-dimensional coordinate system or not; if yes, increasing the density of the marking points by one; if not, determining a labeling point correspondingto the target data item in the multi-dimensional coordinate system, and setting the density of the labeling point to be 1; and calculating a gravity center position corresponding to each coordinate axis according to the densities of all the marking points on each coordinate axis, determining a target point based on all the gravity center positions so as to perform safety monitoring on the targetoperation behavior according to the position of the target point, and analyzing the safety credibility of the 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 specifically, to an operation behavior monitoring method and device, 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 their accounts and passwords at all times. However, due to the inherent openness and resource sharing of the network, the phenomenon of illegal theft of accounts and passwords 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. [0003] In the network payment scenario, the PrefixSpan association algorithm is used to mine the sequence of user behavior, save it in the feature database, and then perf...

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

Images