Method and apparatus for identifying trustworthy user behavior in network interaction system

Abstract

The invention discloses a method for identifying a trustworthy user behavior in a network interaction system. The method comprises the steps of obtaining user behavior data in the network interaction system; and identifying whether the user behavior is trustworthy or not in any one of the following modes: identifying whether the user behavior is trustworthy or not by judging whether a comparison result of pre-generated trustworthy data and the user behavior data meets a preset rule or not; or, calculating an index value representing the creditability of the user behavior by adopting a pre-generated trustworthy behavior identification model, and identifying whether the user behavior is trustworthy or not by judging whether the index value is equal to a preset trustworthy threshold or not. At the same time, the invention provides an apparatus for identifying the trustworthy user behavior in the network interaction system. According to the technical scheme provided by the invention, a new thought of identifying the user behavior is provided and most trustworthy behaviors can be accurately and efficiently identified from mass user behaviors only by depending on trustworthy data and original behavior data.

Description

technical field [0001] The present application relates to the field of user behavior identification, in particular to a method for identifying user credible behavior in a network interaction system. The present application also provides a device for identifying user credible behavior in a network interaction system. Background technique [0002] With the rapid development of network technology and network applications, the Internet has gradually penetrated into every corner of people's lives. Online shopping, online reading, online video, online social networking, etc. have become an indispensable part of people's lives. While the Internet brings convenience to people, it also brings troubles in information security to people. The issue of network security has become the focus of people's attention for a long time. [0003] Although the use of traditional identity authentication and other technical means can basically solve the identity trust problem of network users, it ca...

AI Technical Summary

Problems solved by technology

Due to the need to analyze risk rules and model algorithm calculations one by one for a large number of user behaviors, the processing process is time-consuming and inefficient. Behavior recognition methods have been difficult to meet the needs of online real-time applications; in addition, because the above-mentioned recognition methods need to rely on a large amount of additional data, the hardware storage cost of the entire system has been increased; and the recognition accuracy of this needle-in-a-haystack recognition method is low. Normal operation behaviors are identified as risky behaviors. On the one hand, it will cause indiscriminate disturbance to users and affect user experience. On the other hand, in order to improve accuracy, manual intervention and verification are required, which increases labor costs.

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