Interior threat figure risk prediction method based on personal behavior sequential characteristics

Abstract

The invention relates to an interior threat figure risk prediction method based on personal behavior sequential characteristics, and belongs to the technical field of computer and information science.The method comprises the steps: carrying out the preprocessing and feature extraction of the accumulative historical behavior information of a figure, which comprises the quantitative sampling of figure information, pre-emphasis and windowing, and the extraction of the multi-domain heterogeneous figure data into corresponding digital characteristics; carrying out the synthesis training of an interior threat figure risk prediction model, and constructing an interior threat figure risk prediction model based on LSTM; and finally carrying out the risk prediction, estimation and early warning ofthe interior threat figure risk prediction model based on LSTM. Compared with other common methods, the method is higher in accuracy, provides a basis for the quantification of the interior threat foran enterprise, and provides a layered interior threat figure early-warning mode.

Description

technical field [0001] The invention relates to a method for predicting the risk of an insider threat person based on the time series characteristics of personal behavior, and belongs to the technical field of computer and information science. Background technique [0002] Within an organization or enterprise, real-time monitoring and behavior prediction of internal threat actors is often required. By making full use of the accumulated historical behavior information of the characters to predict the behavior of the characters, and evaluate the internal threats of the characters, and give early warning to the dangerous people. Therefore, the present invention will provide a risk prediction method for insider threat figures to perform risk assessment and early warning for figures within an enterprise or organization. [0003] The basic problems to be solved in the insider threat person risk prediction method are: to predict the person’s behavior through the person’s accumulat...

AI Technical Summary

Problems solved by technology

Therefore, it does not make full use of historical information. Of course, high-order Malcov can be used to solve such problems in theory, but the problem is the loss of calculation and performance.

[0008] To sum up, the existing insider threat person risk prediction method is difficult to make full use of historical information, and cannot accurately assess the risk of insider threat person, so the present invention proposes a risk prediction method of insider threat person based on the temporal characteristics of personal behavior

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