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Lightweight Authentication Scheme for Data Dissemination in Cloud-Assisted Healthcare IoT

Jianghua Liu, Jian Yang, Wei Wu, Xinyi Huang, Yang Xiang

2022IEEE Transactions on Computers27 citationsDOI

Abstract

Recent advancements in the Internet of Things (IoT) and cloud computing technologies have accelerated the development of various practical applications, including healthcare systems. Adequately revealing the collected healthcare data in a cloud-assisted healthcare IoT system brings a huge potential for improving the safety, quality, and efficiency of healthcare services. However, often the data collected in a healthcare IoT system is vital and sensitive. The dissemination of such data is also vulnerable to malicious attacks such as tampering, eavesdropping, and forgery. Thus, disseminated data's integrity, authenticity, and privacy are elementary security demands to end-users and owners. Also, the resource-constrained nature of healthcare IoT devices invalidates the existing solutions. To address the above challenges, we propose a lightweight and secure redactable signature scheme with coarse-grained additional redaction control (CRS) for secure dissemination of healthcare data in a cloud-assisted healthcare IoT system. The security analysis indicates our CRS is secure against signature forgery, additional redaction attacks, and redacted version linkability. Compared to other existing solutions, our scheme can achieve some level of security but less computational complexity and communication overhead.

Topics & Concepts

Computer scienceCloud computingComputer securityEavesdroppingAuthentication (law)Health careOverhead (engineering)Economic growthOperating systemEconomicsCryptography and Data SecurityCloud Data Security SolutionsPrivacy-Preserving Technologies in Data
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