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Driver Identity Authentication Method Based on Convolutional Neural Network and Support Vector Domain Description

A convolutional neural network, support vector technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problem of inability to monitor the driver's identity in real time, not applicable to driver identity authentication, static passwords, smart cards, SMS passwords, dynamic Password and USBKEY authentication method leakage and other issues, to achieve the effect of fast data acquisition, excellent performance, and security

Active Publication Date: 2022-04-26
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Among the existing identity authentication methods, authentication methods such as static password, smart card, SMS password, dynamic password and USB KEY have the risk of leakage, while biometric methods such as fingerprint recognition, face recognition and iris recognition cannot monitor the driver in real time status, does not apply to driver identification

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  • Driver Identity Authentication Method Based on Convolutional Neural Network and Support Vector Domain Description
  • Driver Identity Authentication Method Based on Convolutional Neural Network and Support Vector Domain Description
  • Driver Identity Authentication Method Based on Convolutional Neural Network and Support Vector Domain Description

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Embodiment Construction

[0056] A driver identity authentication scheme based on CNN and SVDD described in the present invention is roughly composed of three parts: extraction and processing of characteristic data, construction of CNN model and construction of SVDD model.

[0057] 1. Extraction and processing of feature data

[0058] 1.1 Extraction of feature data

[0059] First, n drivers are recruited to drive the car for experiments, and the raw CAN bus data is collected using OBD-II diagnostic equipment. Due to the existence of a large amount of irrelevant data in the CAN bus, it is necessary to extract data related to the driver's driving behavior to improve the efficiency of driver identity authentication. At present, most of the automotive diagnostic equipment has the function of data monitoring, figure 1 Part of the monitoring data displayed by the car OBD-II diagnostic equipment is listed. Among them, the data in the bolded part is constantly changing with the movement of the vehicle, whi...

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Abstract

The driver identity authentication method described based on convolutional neural network and support vector domain, is characterized in that, comprises the following steps: step 1, the collection, extraction and processing of characteristic data; Step 2, the construction of CNN model; Step 3, SVDD model build. The present invention utilizes the combined model of CNN and SVDD to extract the identity characteristics of the driver from the data of the CAN bus to realize the identity authentication of the automobile driver. The identity authentication of the automobile driver is realized based on the data of the automobile CAN bus. It can be obtained directly from the OBD‑II port of the car, and the data acquisition is fast.

Description

technical field [0001] The invention belongs to the technical field of identity authentication, in particular to a driver identity authentication method based on convolutional neural network and support vector domain description. Background technique [0002] Vehicle safety is one of the core issues of the automotive industry. As more and more advanced technologies are continuously applied to various automobiles, they are more intelligent to provide convenience for people's travel and protect the safety of passengers. However, there are still some security issues to be solved in the car, such as car driver authentication. Today, in many special-purpose vehicles, the identity of the driver needs to be authorized. For example, cash transport vehicles require authorized drivers to drive the car to ensure the safety of large amounts of cash; in order to provide passengers with a safe and comfortable public transportation environment, only authorized drivers can drive buses / sub...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/2135G06F18/2411G06F18/241
Inventor 刘家佳荀毅杰方永强
Owner NORTHWESTERN POLYTECHNICAL UNIV
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