Toward Secure Storage in Cloud-based eHealth Systems: A Blockchain-Assisted Approach

Cao, Shengxian; Zhang, Xiaosong; Xu, Rixin

doi:10.1109/mnet.001.1900173

Cited by 31 publications

(13 citation statements)

References 13 publications

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“…Krotofil et al [115] proposed a blockchain-based EMR architecture, called granular access authorization supporting flexible query (GAA-FQ), which can authorize different levels of authorization granularity, while maintaining compatibility with the underlying blockchain data structure. Cao et al [116] introduced the architecture of eHealth system based on cloud, analyzed the requirements of EHR security and patient privacy, and proposed an eHealth framework based on blockchain. However, the existing EMR system lacks standard data management and sharing strategy.…”

Section: B Technologiesmentioning

confidence: 99%

“…Aiming at the challenges brought by the electronic health information management system using IoTs, including the communication security of wireless channel, the protocol between authentication key and entity, the access control scheme, and other defects, Aghili et al [126] proposed a new lightweight, secure, and efficient authentication protocol, which is also suitable for access control. Cao et al [116] proposed a password-based authentication system for appointments between patients and hospitals in order to realize the friendliness of patients with low-power devices and resistance to impersonation attacks.…”

Section: B Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art

Chen

Tang

Wang

et al. 2022

IEEE Trans. Comput. Soc. Syst.

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A medical cyber-physical system (MCPS) is a unique cyber-physical system (CPS), which combines embedded software control devices, networking capabilities, and complex physiological dynamics of patients in the modern medical field. In the process of communication, device, and information system interaction of MCPS, medical cyber-physical data are generated digitally, stored electronically, and accessed remotely by medical staff or patients. With the advent of the era of medical big data, a large amount of medical cyber-physical data is collected, and its sharing provides great value for diagnosis, pathological analysis, epidemic tracking, pharmaceutical, insurance, and so on. This overview will present MCPS's architectures and frameworks from different perspectives, modeling and verification methods, identification and sign sensing technologies, key communications' technologies, data storage and analysis technologies, monitoring systems, data security and privacy protection technologies, and key research perspectives and directions. We can have a comprehensive understanding of the important characteristics and technical route of MCPS, and grasp its research status and progress.

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Section: B Technologiesmentioning

confidence: 99%

Section: B Technologiesmentioning

confidence: 99%

Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art

Chen

Tang

Wang

et al. 2022

IEEE Trans. Comput. Soc. Syst.

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“…BC-T Barriers to blockchain adoption is applied in health care to validate patient data, electronic health records (EHRs), manufacturing safer drugs, etc. (Cao et al, 2020;Mackey et al, 2019). To ensure proper interoperability, privacy, integrity and guard time are jointly working to implement BC worldwide.…”

Section: Blockchain Technology In Health Carementioning

confidence: 99%

“…Table 3 summarizes existing health-care systems in BC-T ecosystem. For e-health systems, BC-T emerged as most suitable, highly secure, decentralized yet distributed network that dynamically self-regulated whenever a medical transaction is initiated, generated, stored and shared (Alonso et al, 2019;Cao et al, 2020). BC-T facilitates the transaction flows, scrutinize the security and accuracy and reduces overhead costs (Nortey et al, 2019;Nagasubramanian et al, 2020).…”

Section: Blockchain Technology In Health Carementioning

confidence: 99%

Barriers to blockchain adoption in health-care industry: an Indian perspective

Sharma

Joshi

2021

JGOSS

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Purpose This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry. Design/methodology/approach The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers. Findings A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power. Research limitations/implications The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies. Practical implications The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry. Originality/value The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

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“…That allows personal health record system users to access their records from cloud storage after verifying their identities through BC. In the same vein, in health, [35] presented a similar framework for securing outsourced electronic health records using BC technology. Several papers have also applied the distribution architecture of BC technology in the Internet of Things (IoT).…”

Section: A Related Workmentioning

confidence: 99%

Using Blockchain in Cloud Computing to Enhance Relational Database Security

Awadallah¹,

Samsudin

2021

IEEE Access

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Cloud computing has now become a very standardised concept in our society. However, many modern applications need a better level of security that includes saving data from internal breaches. Thus, cloud databases need effective security mechanisms to keep track of data modifications. This paper will introduce the enhanced structure of cloud relational database (RDB) based on blockchain technology (BC) named BC over cloud-RDB. To provide the client with an effective self-verification process to detect and prevent erroneous manipulation of RDBs. We proposed two systems to improve cloud-RDB: agile BCbased RDB and secure BC-based RDB. Both are distributed among several cloud service providers based on the Byzantine Fault Tolerance consensus. Additionally, both rely on linking records to each other using the SHA-256. At the same time, secure BC-based RDB uses a proof-of-work consensus to make data offensive operation impossible. Based on both systems' performance and security analysis, the agile BC-based RDB is highly suggested for the high throughput database. On the other hand, the secure BC-based RDB is recommended for RDB that contains sensitive data and low throughput performance. The improved RDB is flexible and can be operated based on the data owner's specifications.

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Toward Secure Storage in Cloud-based eHealth Systems: A Blockchain-Assisted Approach

Cited by 31 publications

References 13 publications

Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art

Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art

Barriers to blockchain adoption in health-care industry: an Indian perspective

Using Blockchain in Cloud Computing to Enhance Relational Database Security

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