Secure and private data sharing in CPS e-health systems based on CB-SMO techniques

Abstract

In recent years, security and privacy preservation are key problems in the systems, electronic health data exchange can help to improving diagnostic accuracy. Due to its immutability, blockchain has been presented as a potential method for achieving Global Network Record (GNR) sharing with security and privacy preservation in recent days. This paper offers a safe and privacy-preserving GNR sharing CB-SMO method for diagnostic improvements in CPS (Cyber Physical System) e-Health systems based on blockchain technology. To begin, two types of approaches are employed, such as consortium blockchain, which are built by inventing data structures as well as consensus processes. The SMO is in charge of storing GNR, while the consortium blockchain maintains track of the GNR's secured indicators. To protect the information, access control, privacy preservation, as well as secure search, all documents, including the GNR, keywords, and the patients' identify, is public key encrypted with keyword search. Moreover, while developing extra blocks to the blockchains, block producers must show evidence of compliance, which ensures data consistency. The suggested protocol can satisfy the security goals, according to the security analysis. In addition, we test the performance of the suggested method using Apache JMeter. The prediction accuracy rate of the proposed work is 99% at a reasonable cost of time.

Keywords

• JMeter
• Apache
• Global network record
• Consort