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A Secure and Privacy-Preserving Mutual Authentication Scheme for Cloud-Assisted Multi-Tenant Healthcare Systems
Bharath Babu S and Jothi K R
In recent times, healthcare data security has become the major constrained as the data collected from Body Area Networks (BAN) and other medical networks need to be effectively leveraged for legitimate medical research and data analysis purposes. This is mainly because of the reason that any compromise in healthcare data security can adversely impact the quality of medical predictive models, acceleration of new medical research and the effectiveness of the data-driven medical treatments. To overcome these constraints, this paper presents a secure and privacy preserving mutual authentication scheme for cloud-assisted multi-tenant healthcare systems. The proposed approach enables secure verification of communicating healthcare entities and to establish the secure data transmission without the compromise of the original identities. Further, the proposed approach makes use of Physically Unclonable Functions (PUF) and chained hash function to make the system more secure and efficient. This approach is implemented using Automated Validation of Internet Security Protocols and Applications (AVISPA) tool and various parameters such as network performance, storage cost, communication cost, and computational complexity measures are used for the evaluation purpose. It is observed from the experiment that the proposed approach provides significantly improved results than the conventional approaches.
Keywords: Physically Unclonable Functions (PUF), Multi-tenant cloud, E-health, security, and privacy
DOI: 10.32908/ahswn.v62.15041