Smart IoT-Blockchain Security to Secure Sensitive Personal Medical Data Using Shuffled Random Starvation Link Encryption

Abstract

The Internet of Things transmits data collected from remote sensors and shares public and private data through the Internet or other communication networks. The IoT healthcare data uses decentralized cloud security for data transmission and storage of healthcare data. Privacy and security are critical components for managing private data and personalization. Due to the Big Data environment in healthcare data processing the sensitive data collection from Electronic Personal Healthcare Records poses challenges and difficulties. The unauthorized policies allow adversaries to obtain data and keys for sharing healthcare records. So Sensitive information in personal healthcare records needs to be highly protected in the medical field. The excessive insensitivity of the current privacy regulations causes delays in complexity and poor performance. Exposure-risk response interactions are necessary to calculate the burden of environmental ailments. To tackle this issue, this paper introduces Blockchain-based Decentralized Secure Sharing using the Shuffled Random Starvation Link Encryption algorithm to protect the sensitive PHR records in the smart IoT. Initially, the proposed quasi-sensitive attribute Identification method is used to analyze and categorize the sensitive cases of PHR. Then encrypt the sensitive attributes using the novel Shuffled Random Starvation Link Encryption algorithm to protect the user’s private data. The Key Authentication Policy is used to verify the key node aggregation and peer-end verification to share information between users. As a result, the proposed system outperforms previous approaches in reliability and security.

Keywords

• Blockchain
• electronic healthcare records
• healthcare management
• Internet of Things
• key authentication policy
• personal healthcare records