Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption

Area of Science:

• Computer Science
• Healthcare Informatics
• Cybersecurity

Background:

• The Internet of Things (IoT) is rapidly expanding in the medical field, generating vast amounts of sensitive personal health information.
• Sharing electronic health records is critical for modern healthcare but faces significant challenges due to data heterogeneity and privacy concerns.
• Existing systems struggle to securely and accurately store and share medical data, increasing the risk of privacy breaches.

Purpose of the Study:

• To propose a novel technique for securing healthcare data sharing within the IoT environment.
• To address the challenges of privacy leakage and security issues in electronic health information exchange.
• To enhance the verification and validation of healthcare data transactions.

Main Methods:

• The Provable Partitioned Secure Block Chain Principle (PPSBCP) technique is introduced for secure healthcare data sharing.
• Data analysis involves Z-score normalization, Sensitive Spectral Impact Rate (SSIR) for identifying sensitive records, and Binomial Quadratic Sensitive Data Prediction (BQSDP) for categorization.
• Blockchain implementation includes Hash Index Policy (HIP) with Foldable Blockchain Encryption Standard (FBES), Master Node Handover Authentication Policy (MNHAP) for private key verification, and Distributed Hyper Ledger Mechanism (DHLM) for transaction principles.

Main Results:

• The proposed PPSBCP technique effectively categorizes sensitive and non-sensitive healthcare information.
• Encryption and authentication policies ensure robust data security and privacy.
• The system demonstrates high performance in security, verification, and validation compared to existing methods.

Conclusions:

• The PPSBCP technique offers a secure and efficient solution for healthcare data sharing in the IoT era.
• This approach mitigates privacy leakage and enhances the overall security of sensitive medical information.
• The study provides a foundation for more secure and reliable health data exchange systems.