Privacy protection scheme for edge computing based on function encryption

Abstract

In the response to COVID-19, the big data can achieve a new data application mode with reduced manpower and material costs, which will help the government understand the supply and demand status of medical supplies and make precise decisions to ensure the supply of materials and prevent the spread of the epidemic. However, in the medical big data solution based on cloud computing, the user data storage and computing process are all carried out in the cloud, the risk of medical data is increasingly exposed, and the privacy protection of medical data is worrying. Edge computing makes data privacy protection more operational. Because the data collection and calculation are based on the local, and no longer need to be transmitted to the cloud, some important information, especially sensitive information, cannot be transmitted through the network, effectively solving the problem of user privacy leakage and data security. Function encryption provides data with a very flexible method that meets data confidentiality and effective access control. So based on function encryption, this paper proposes a privacy protection scheme under the edge computing paradigm, introduce the data interaction process for the scheme and demonstrates the privacy protection ability and computing efficiency of the scheme in the main scenario of smart medical care.