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Mobile crowd sensing method based on block chain and federal learning

A mobile crowd sensing and crowd sensing technology, applied in the field of mobile crowd sensing based on blockchain and federated learning, can solve problems such as high delay, low throughput, and insufficient authentication accuracy, and achieve high authentication accuracy, The effect of high throughput and low latency

Pending Publication Date: 2021-10-26
FUJIAN NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0007] Existing methods still have problems such as low throughput, insufficient authentication accuracy, and high latency

Method used

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  • Mobile crowd sensing method based on block chain and federal learning
  • Mobile crowd sensing method based on block chain and federal learning

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Experimental program
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Effect test

Embodiment 1

[0033] Please refer to figure 1 and figure 2 , Embodiment 1 of the present invention is:

[0034] A mobile crowd sensing method based on blockchain and federated learning, including steps:

[0035] S1. The task server issues group intelligence sensing tasks to each sub-area in the preset COVID-19 infected area. Each of the group intelligence sensing tasks is associated with a corresponding security level. Any client with a level higher than the security level All can accept the group governance perception task;

[0036]Each of the crowd sensing tasks can be decomposed into multiple subtasks, and each of the subtasks is associated with a corresponding security level.

[0037] In this embodiment, the restriction on the security level can prevent collusion attacks to some extent.

[0038] Step 1 in this embodiment includes the decomposition and area division of the crowd sensing task. The number of new coronary pneumonia virus infections is related to the region. Therefore...

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Abstract

The invention discloses a mobile crowd sensing method based on a block chain and federal learning. A task server issues crowd sensing tasks, and each crowd sensing task is associated with a corresponding security level; the block chain server records task information of the crowd sensing task; the authentication server corresponding to the current area performs reliability and validity authentication on the novel coronavirus pneumonia related medical data based on a federated learning algorithm, and the crowd sensing server only receives the group treatment sensing data passing the authentication; the block chain technology and the FL algorithm are combined, the quality of crowd sensing data can be improved on the premise that user privacy is ensured, reliability and effectiveness of medical data are verified through DDPG, honest users are found, and the goals of high throughput, high authentication precision and low delay are achieved in various crowd sensing scenes for preventing novel coronavirus pneumonia.

Description

technical field [0001] The invention relates to the technical field of mobile crowd sensing, in particular to a mobile crowd sensing method based on blockchain and federated learning. Background technique [0002] The outbreak of COVID-19 poses a huge threat and impact on global public health and the economy. The first round of the fight against COVID-19 showed that the threat of rising numbers of infections and asymptomatic infections cannot be addressed by existing health care systems alone. It will also increase the cross-infection caused by contact between medical staff and patients, affect normal medical and health services, and cause huge pressure on the social economy. Scientific research and practical experience show that curbing the further spread of the current COVID-19 requires ensuring: 1) close tracking of the health status of vulnerable populations who are more susceptible to infection; 2) continued monitoring of the health status of those who have had close c...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H50/80G06F21/64G06F21/62G06F16/27
CPCG16H50/70G16H50/80G06F21/64G06F21/6245G06F16/27
Inventor 林晖胡嘉汪晓丁余锋
Owner FUJIAN NORMAL UNIV
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