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Multi-factor data reliability evaluation method in fog computing

A fog computing and reliability technology, applied in the field of multi-factor data reliability evaluation in fog computing, which can solve problems such as devices not completely trusting each other and data judgment problems.

Pending Publication Date: 2022-04-05
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the mobility and variability of devices, devices do not fully trust each other
When there are malicious users in the network, they will deliberately spread false data, which will cause confusion for other users to judge the data

Method used

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  • Multi-factor data reliability evaluation method in fog computing
  • Multi-factor data reliability evaluation method in fog computing
  • Multi-factor data reliability evaluation method in fog computing

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Embodiment Construction

[0028] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0029] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a multi-factor data reliability evaluation method in fog computing, and belongs to the technical field of mobile communication. And data sharing enables users to obtain important information around in time. However, in a data sharing process, due to the mobility and variability of the users, the users do not completely trust each other. Due to sensor faults, virus infection and even selfish reasons, the equipment may spread error information. In order to reduce the influence of the malicious messages on other users, the propagation of false messages must be inhibited. The invention designs a method to quantify the authenticity of the data, so that a data requester can obtain more reliable data in the data sharing process. And the fog node prejudges the authenticity of the data through Bayesian model inference to obtain the credibility value of the data. The requester obtains the satisfaction degree of the data by integrating the experience-based trust value of the provider and historical interaction on the basis of the fog node pre-judgment result, so that the reliability evaluation of the data is more comprehensive.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a multi-factor data reliability evaluation method in fog computing. Background technique [0002] At present, "fog computing" is an emerging distributed computing paradigm. Fog computing extends computing, communication, and cache to the edge of the network, and has inherent characteristics such as low latency, mobility, and wireless access capabilities. Fog computing provides a platform for data sharing between mobile devices. Data sharing enables users to obtain important information around them in a timely manner, providing great convenience for users' lives. However, due to the mobility and variability of devices, devices do not fully trust each other. When there are malicious users in the network, they will deliberately spread false data, which will cause confusion for other users to judge the data. Therefore, how to effectively evaluate the credibility of data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F17/16G06N7/00
Inventor 彭贻崔太平雷一达曾元鸿杨马暘陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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