Blockchain Enabled Anonymous Privacy-Preserving Authentication Scheme for Internet of Health Things
Open accessAbstract
The Internet of Health Things (IoHT) has emerged as an attractive networking paradigm in wireless communications, integrated devices and embedded system technologies. In the IoHT, real-time health data are collected through smart healthcare sensors and, in recent years, the IoHT has started to have an important role in the Internet of Things technology. Although the IoHT provides comfort in health monitoring, it also imposes security challenges in maintaining patient data confidentiality and privacy. To overcome such security issues, in this paper, a novel blockchain-based privacy-preserving authentication scheme is proposed as an approach for achieving efficient authentication of the patient without the involvement of a trusted entity. Moreover, a secure handover authentication mechanism that ensures avoiding the patient re-authentication in multi-doctor communication scenarios and revoking the possible malicious misbehavior of medical professionals in the IoHT communication with the patient is developed. The performance of the proposed authentication and handover scheme is analyzed concerning the existing state-of-the-art authentication schemes. The results of the performance analyses reveal that the proposed authentication scheme is resistant to different types of security attacks. Moreover, the results of analyses show that the proposed authentication scheme outperforms similar state-of-the-art authentication schemes in terms of having lower computational, communication and storage costs. Therefore, the novel authentication and handover scheme has proven practical applicability and represents a valuable contribution to improving the security of communication in IoHT networks.
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Both privacy and security are popular topics of research and several approaches have been proposed including anonymity frameworks, differential privacy, and blockchain-based solutions.
“Both privacy and security are popular topics of research and several approaches have been proposed including anonymity frameworks [203] to more recently proposed differential privacy [204], and blockchain-based solutions [205].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [205]
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- Authors
- Rajasekaran, A. S., Maria, A., Rajagopal, M., & Lorincz, J.
- Affiliations
- KPR Institute of Engineering and Technology (IN)
- VIT-AP University (IN)
- Department of ECE, Centre for IoT and AI (CITI), KPR Institute of Engineering and Technology, Coimbatore 641407, India
- Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21000 Split, Croatia
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2022-12-26
- Volume
- 23
- Issue
- 1
- Pages
- 240
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC9823844
- OpenAlex
- W4313326947
- Cited by
- 26
- References
- 53
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 6 · 2023: 11
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Medical Things, blockchain, privacy-preserving authentication, anonymous authentication, handover authentication, patient data privacy, health data security
- MeSH terms
- Internet of Things, Blockchain, Confidentiality, Humans, Computer Security, Privacy, Internet
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