Architectural framework of 5G-based smart healthcare system using blockchain technology

With the rapid development in smart medical devices, Internet of things has a large applicability in healthcare sector. The current system is based on a centralized communication with cloud servers. However, this architecture increases security and privacy risks. This paper describes an architecture of a smart healthcare system for remote patient monitoring. To ensure security and privacy, the architecture uses the Blockchain technology. For data analysis, smart contracts and artificial intelligence are used. The architecture is divided into three layers: smart medical devices layer, fog layer and cloud layer. To validate the proposed approach, a scenario based on diabetes management system is described. The architecture is applied to provide remote diabetic patients monitoring. The system could suggest treatments, generate proactive predictions and predict future complications as well as alerting physicians in case of emergency.

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A Privacy-Preserving Data Transmission Scheme Based on Oblivious Transfer and Blockchain Technology in the Smart Healthcare

Security and Communication Networks ◽

10.1155/2021/5781354 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Huijie Yang ◽

Jian Shen ◽

Junqing Lu ◽

Tianqi Zhou ◽

Xueya Xia ◽

...

Keyword(s):

Healthcare System ◽

Data Transmission ◽

Privacy Preserving ◽

Medical Data ◽

The Internet ◽

Communication Pattern ◽

Transmission Scheme ◽

Blockchain Technology ◽

Smart Healthcare ◽

The Internet Of Things

With the development of the Internet of Things and the demand for telemedicine, the smart healthcare system has attracted much attention in recent years. As a platform for medical data interaction, the smart healthcare system is demanded to ensure the privacy of both the receiver and the sender, as well as the security of data transmission. In this paper, we propose a privacy-preserving data transmission scheme where both secure ciphertext conversion and malicious users identification are supported. In particular, the OT m n protocol is introduced to guarantee the two-way privacy of communication parties. Meanwhile, we adopt proxy reencryption algorithm to support secure ciphertext conversion so as to ensure the confidentiality of data in many-to-many communication pattern. In addition, by taking advantage of the concept of blockchain technology, a novel OT m n protocol is proposed to prevent data from being tampered with and effectively identify malicious users. Theoretical and experimental analyses indicate that the proposed scheme is practical for smart healthcare with high security and efficiency.

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MedShard: Electronic Health Record Sharing Using Blockchain Sharding

Sustainability ◽

10.3390/su13115889 ◽

2021 ◽

Vol 13 (11) ◽

pp. 5889

Author(s):

Faiza Hashim ◽

Khaled Shuaib ◽

Farag Sallabi

Keyword(s):

Healthcare System ◽

Small Groups ◽

Network Performance ◽

Communication Overhead ◽

Privacy And Security ◽

Health Records ◽

Medical Practitioners ◽

Blockchain Technology ◽

Simulation Results ◽

Electronic Health

Electronic health records (EHRs) are important assets of the healthcare system and should be shared among medical practitioners to improve the accuracy and efficiency of diagnosis. Blockchain technology has been investigated and adopted in healthcare as a solution for EHR sharing while preserving privacy and security. Blockchain can revolutionize the healthcare system by providing a decentralized, distributed, immutable, and secure architecture. However, scalability has always been a bottleneck in blockchain networks due to the consensus mechanism and ledger replication to all network participants. Sharding helps address this issue by artificially partitioning the network into small groups termed shards and processing transactions parallelly while running consensus within each shard with a subset of blockchain nodes. Although this technique helps resolve issues related to scalability, cross-shard communication overhead can degrade network performance. This study proposes a transaction-based sharding technique wherein shards are formed on the basis of a patient’s previously visited health entities. Simulation results show that the proposed technique outperforms standard-based healthcare blockchain techniques in terms of the number of appointments processed, consensus latency, and throughput. The proposed technique eliminates cross-shard communication by forming complete shards based on “the need to participate” nodes per patient.

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