17958746. IDENTITY AUTHENTICATION METHOD, AND METHOD AND APPARATUS FOR TRAINING IDENTITY AUTHENTICATION MODEL simplified abstract (Huawei Technologies Co., Ltd.)

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IDENTITY AUTHENTICATION METHOD, AND METHOD AND APPARATUS FOR TRAINING IDENTITY AUTHENTICATION MODEL

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Dong Chen of Shenzhen (CN)

Ji Li of Beijing (CN)

IDENTITY AUTHENTICATION METHOD, AND METHOD AND APPARATUS FOR TRAINING IDENTITY AUTHENTICATION MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 17958746 titled 'IDENTITY AUTHENTICATION METHOD, AND METHOD AND APPARATUS FOR TRAINING IDENTITY AUTHENTICATION MODEL

Simplified Explanation

The patent application describes an identity authentication method that uses artificial intelligence to improve the accuracy of authentication. Here is a simplified explanation of the abstract:

  • The method involves obtaining operation behavior data from a user who wants to be authenticated.
  • Two different authentication models are used: an anomaly detection model and a classification model.
  • The first authentication model analyzes the first operation behavior data to produce a recognition result.
  • The second authentication model analyzes the second operation behavior data to produce another recognition result.
  • The two recognition results are then inputted into a decision fusion model to obtain the final identity authentication result.

Potential applications of this technology:

  • Online banking and financial transactions
  • Access control systems for buildings and facilities
  • E-commerce platforms and online marketplaces
  • Social media platforms and online communities

Problems solved by this technology:

  • Improves the accuracy of identity authentication by using multiple models and data sources.
  • Reduces the risk of false positives and false negatives in the authentication process.
  • Provides a more robust and reliable authentication system.

Benefits of this technology:

  • Enhances security by accurately verifying the identity of users.
  • Reduces the likelihood of unauthorized access and fraudulent activities.
  • Provides a seamless and user-friendly authentication experience.
  • Can be easily integrated into existing systems and platforms.


Original Abstract Submitted

This application discloses an identity authentication method, a method and an apparatus for training an identity authentication model, and a computer-readable medium in the artificial intelligence field to improve accuracy of identity authentication. The identity authentication method includes: obtaining first operation behavior data and second operation behavior data of a to-be-authenticated user; obtaining, by using a first authentication model by inputting the first operation behavior data, a first recognition result output by the first authentication model; obtaining, by using a second authentication model by inputting the second operation behavior data, a second recognition result output by the second authentication model, where the first authentication model and the second authentication model are an anomaly detection model and a classification model respectively; and inputting the first recognition result and the second recognition result into a decision fusion model to obtain an output identity authentication result.

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