Hybrid Mechanism of Secure Multi-Party Computation and Blockchain for Medical IoT

Authors

  • Sai Sukeerthi Yarlagaada
  • Manas Kumar Yogi

Keywords:

Blockchain, Data integrity, Medical IoT, Privacy, Secure multi-party computation, Security

Abstract

The convergence of the Internet of Things (IoT) with medical applications presents unprecedented opportunities for healthcare advancement but also introduces significant security and privacy challenges. This paper proposes a novel hybrid mechanism that combines Secure Multi-Party Computation (SMPC) and Blockchain technologies to address these challenges effectively. The proposed hybrid mechanism aims to ensure the confidentiality, integrity, and availability of sensitive medical data collected from IoT devices while maintaining patient privacy and data ownership. By leveraging SMPC, the system enables multiple parties, including patients, healthcare providers, and medical researchers, to collaboratively compute functions over their distributed data without exposing individual inputs. This facilitates secure data sharing and analysis without compromising confidentiality. The integration of Blockchain technology provides a tamper-resistant and immutable ledger for recording transactions and data provenance. Smart contracts deployed on the Blockchain automate the execution of predefined rules and policies, enhancing transparency and auditability in the system. The decentralized nature of Blockchain ensures resilience against single points of failure and malicious attacks. Through the proposed hybrid mechanism, medical IoT devices can securely transmit data to authorized parties for analysis and decision-making while preserving patient privacy and trust. Real-world implementation of the proposed system demonstrates its effectiveness in ensuring data security, privacy, and integrity in medical IoT environments.

Published

2024-03-01

Issue

Section

Articles