A reputation-based trust evaluation method in edge computing network video processing

A technology of edge computing and network video, applied in data exchange network, digital data authentication, digital transmission system, etc., can solve the problems such as few researches in the field of edge computing

Active Publication Date: 2019-06-21
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Trust management has received extensive attention and research in other fields including cloud computing and peer-to-peer computing, but there are not many s...

Method used

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  • A reputation-based trust evaluation method in edge computing network video processing
  • A reputation-based trust evaluation method in edge computing network video processing
  • A reputation-based trust evaluation method in edge computing network video processing

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Embodiment Construction

[0063] consider figure 2 In this scenario, some users need to send task requests to offload their application tasks to nearby mobile devices due to insufficient performance or energy of their own mobile devices. What users care about is the trust of task resource providers, including three factors: identity trust, capability trust and behavior trust. In this scenario, the present invention needs to make a trust mechanism to ensure the task resource provider's identity trust, ability to process task requests, and good behavior trust.

[0064] For a user who requests to join the edge computing network, the user must first be authenticated, and those who meet the requirements can join as a legitimate user, and the newly joined node is assigned an initial reputation value. When a video processing task request is initiated, the edge server first screens out a service provider user list that meets the capability requirements of the task on the device, randomly selects a terminal u...

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Abstract

The invention discloses a reputation-based trust evaluation method in edge computing network video processing. The reputation-based trust evaluation method comprises the steps of 1, modeling identitytrust; 2, carrying out capability trust modeling; Step 3, carrying out behavior trust modeling; And step 4, according to the established model, enabling the task request node to submit evaluation to an edge server according to an interaction result after the interaction is completed, and enabling the edge server to calculate an updated storage service providing node reputation value according to an evaluation result and inform the service providing node of the updated result. The invention provides a reputation-based trust evaluation mechanism. edge nodes are screened triple trust mechanism of trust through identity, capability trust, a behavior trust; The edge nodes with qualified identities, capabilities and reliable behaviors are ensured to be added into a network system for service interaction and trust information sharing, evaluation of a local reputation value and a global reputation value is realized, safe, reliable and efficient resource sharing and management are ensured, and the requirements of high-quality experience and credibility and safety of users are met.

Description

technical field [0001] The invention relates to the field of edge computing video processing, in particular to a reputation-based trust evaluation method in edge computing network video processing. Background technique [0002] In recent years, with the development of information technology, mobile smart devices have shown an explosive growth trend, and at the same time stimulated the emergence of many new applications, such as virtual reality, augmented reality, mobile interactive games and so on. The emergence of these new applications poses a great challenge to the user experience in the field of mobile computing. Edge computing is a new type of distributed computing architecture, which aims to transfer the control of computing applications, data and services from certain central nodes of the Internet. (“Core”) to move to the other logical extreme (“Edge”), adjacent to mobile smart devices as well as end users. In the edge computing network, various infrastructures with ...

Claims

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Application Information

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IPC IPC(8): G06F21/44H04L12/24H04L29/08
Inventor 邓晓衡赵智慧关培源李博
Owner CENT SOUTH UNIV
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