A Blockchain Based Approach for Privacy Preservation in Healthcare IoT

Bhalaji, N.; Abilashkumar, P. C.; Aboorva, S.

doi:10.1007/978-981-13-8461-5_52

Cited by 13 publications

(9 citation statements)

References 12 publications

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“…Many researchers have used complete or partial blockchain technology to safeguard the privacy and integrity of data obtained from IoT devices. [4] have treated Electronic Health Records (EHRs) as blockchain transactions, each having a unique identifier and a hashed value. The unique identifier is encrypted with their proposed encryption scheme which is devoid of a decryption key.…”

Section: Literature Surveymentioning

confidence: 99%

“…Table 2 lists the prevalent privacy-preserving solutions in healthcare edge computing, along with the limitations that need to be addressed. Quantum level computations SIMD-SHE [21] Dependence on other platforms (cloud computing) Complete or partial use of blockchain [4] Need excessive computation resources Data encryption schemes [15,22] Low computation resources and high latency Cryptography mechanisms [15,28] [29] Limited resources Data pseudonymization and anonymization schemes [30][31][32] Low bandwidth and network performance, absence of legal framework Secure authentication scheme (SAB-UAS) [33] Low latency and network performance with high cost Table 2: Privacy-preserving solutions in edge computing-based healthcare and the associated challenges.…”

Section: Privacy Preservation Edge Computing-based Healthcare Solutionsmentioning

confidence: 99%

“…The IoT ecosystem in healthcare is not limited to these medical devices alone. It encompasses sensors and all those devices which are powered by the Internet and collects and communicates the data to provide time-dependent critical services to different actors involved in a particular healthcare system setting [3,4]. However, regardless of the versatility of the IoT, 41.4 million EHRs (Electronic Health Records) were compromised by data breaches in 2019 alone [5].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Privacy-Preserving Edge Computing and Internet of Things Models in Healthcare Domain

Almusallam

Alabdulatif

Alarfaj

2021

Computational and Mathematical Methods in Medicine

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The healthcare sector is rapidly being transformed to one that operates in new computing environments. With researchers increasingly committed to finding and expanding healthcare solutions to include the Internet of Things (IoT) and edge computing, there is a need to monitor more closely than ever the data being collected, shared, processed, and stored. The advent of cloud, IoT, and edge computing paradigms poses huge risks towards the privacy of data, especially, in the healthcare environment. However, there is a lack of comprehensive research focused on seeking efficient and effective solutions that ensure data privacy in the healthcare domain. The data being collected and processed by healthcare applications is sensitive, and its manipulation by malicious actors can have catastrophic repercussions. This paper discusses the current landscape of privacy-preservation solutions in IoT and edge healthcare applications. It describes the common techniques adopted by researchers to integrate privacy in their healthcare solutions. Furthermore, the paper discusses the limitations of these solutions in terms of their technical complexity, effectiveness, and sustainability. The paper closes with a summary and discussion of the challenges of safeguarding privacy in IoT and edge healthcare solutions which need to be resolved for future applications.

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Section: Literature Surveymentioning

confidence: 99%

Section: Privacy Preservation Edge Computing-based Healthcare Solutionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Privacy-Preserving Edge Computing and Internet of Things Models in Healthcare Domain

Almusallam

Alabdulatif

Alarfaj

2021

Computational and Mathematical Methods in Medicine

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“…The majority [3,9,12,13] implement smart contracts to allow access to only authorized users based on some attributes of the IoMT ecosystem and their interaction with the users/stakeholders. Some other works [5,14,20] focused on maintaining patient privacy by proposing a lightweight privacy-preserving algorithms like ring signature scheme.…”

Section: Discussion and Open Issuesmentioning

confidence: 99%

“…The authors in [14] use some features of the standard version of blockchain to provide privacy and data integrity when sharing IoMT data. They use the hashing technique and propose a newly encryption algorithm to encrypt the transactions containing personal and sensitive data about patients.…”

Section: Modified Cryptographic Techniquementioning

confidence: 99%

Blockchain for Internet of Medical Things: A Technical Review

Ellouze

Fersi

Jmaïel

2020

Lecture Notes in Computer Science

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The Internet of Medical Things (IoMT) represents a network of implantable or wearable medical devices that continuously collect medical data about the patient's health status. These data are heavy, sensitive and require high level of security. With the emergence of blockchain technology, researchers are focusing on using blockchain strategies to bring security to healthcare applications. However, such integration is very difficult and challenging due to the different requirements in these two technologies. We present in this paper a technical review of existing solutions applying blockchain technology on IoMT. We analyze these studies, discuss the proposed architectures and how they managed the integration challenges. The open issues regarding the application of blockchain over IoMT are also specified.

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