Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0

Author:

Tian Hui123ORCID,Ye Weiping123ORCID,Wang Jia123,Quan Hanyu123ORCID,Chang Chin-Chen4ORCID

Affiliation:

1. College of Computer Science and Technology, National Huaqiao University, Xiamen 361021, China

2. Xiamen Key Laboratory of Data Security and Blockchain Technology, National Huaqiao University, Xiamen 361021, China

3. Fujian Key Laboratory of Big Data Intelligence and Security, National Huaqiao University, Xiamen 361021, China

4. Department of Information and Computer Science, Feng Chia University, Taichung 40724, Taiwan

Abstract

In the context of healthcare 4.0, cloud-based eHealth is a common paradigm, enabling stakeholders to access medical data and interact efficiently. However, it still faces some serious security issues that cannot be ignored. One of the major challenges is the assurance of the integrity of medical data remotely stored in the cloud. To solve this problem, we propose a novel certificateless public auditing for medical data in the cloud (CPAMD), which can achieve efficient batch auditing without complicated certificate management and key escrow. Specifically, in our CPAMD, a new secure certificateless signature method is designed to generate tamper-proof data block tags; a manageable delegated data outsourcing mechanism is presented to reduce the burden of data maintenance on patients and achieve auditability of outsourcing behavior; and a privacy-preserving augmented verification strategy is proposed to provide comprehensive auditing of both medical data and its source information without compromising privacy. We perform formal security analysis and comprehensive performance evaluation for CPAMD. The results demonstrate that the presented scheme can provide better auditing security and more comprehensive auditing capabilities while achieving good performance comparable to state-of-the-art ones.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

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