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      A Decentralized Privacy-Preserving Healthcare Blockchain for IoT

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          Abstract

          Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and treatment process, healthcare professionals are now adopting Internet of Things (IoT)-based wearable technology. Recent years have witnessed billions of sensors, devices, and vehicles being connected through the Internet. One such technology—remote patient monitoring—is common nowadays for the treatment and care of patients. However, these technologies also pose grave privacy risks and security concerns about the data transfer and the logging of data transactions. These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient’s life. We propose the use of a blockchain to provide secure management and analysis of healthcare big data. However, blockchains are computationally expensive, demand high bandwidth and extra computational power, and are therefore not completely suitable for most resource-constrained IoT devices meant for smart cities. In this work, we try to resolve the above-mentioned issues of using blockchain with IoT devices. We propose a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network. These additional privacy and security properties in our model are based on advanced cryptographic primitives. The solutions given here make IoT application data and transactions more secure and anonymous over a blockchain-based network.

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          Most cited references33

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          Blockchains and Smart Contracts for the Internet of Things

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            Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control.

            Healthcare data are a valuable source of healthcare intelligence. Sharing of healthcare data is one essential step to make healthcare system smarter and improve the quality of healthcare service. Healthcare data, one personal asset of patient, should be owned and controlled by patient, instead of being scattered in different healthcare systems, which prevents data sharing and puts patient privacy at risks. Blockchain is demonstrated in the financial field that trusted, auditable computing is possible using a decentralized network of peers accompanied by a public ledger. In this paper, we proposed an App (called Healthcare Data Gateway (HGD)) architecture based on blockchain to enable patient to own, control and share their own data easily and securely without violating privacy, which provides a new potential way to improve the intelligence of healthcare systems while keeping patient data private. Our proposed purpose-centric access model ensures patient own and control their healthcare data; simple unified Indicator-Centric Schema (ICS) makes it possible to organize all kinds of personal healthcare data practically and easily. We also point out that MPC (Secure Multi-Party Computing) is one promising solution to enable untrusted third-party to conduct computation over patient data without violating privacy.
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              Blockchain for IoT security and privacy: The case study of a smart home

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                15 January 2019
                January 2019
                : 19
                : 2
                : 326
                Affiliations
                [1 ]Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland; ashudhar7@ 123456gmail.com (A.D.D.); rajanibabu7@ 123456gmail.com (R.S.)
                [2 ]Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada
                [3 ]Research Center for Interneural Computing, China Medical University, Taichung 40402, Taiwan
                [4 ]Department of Electronics and Communication, University of Allahabad, Allahabad 211002, India; dhar.shalini@ 123456rediffmail.com
                [5 ]Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland
                Author notes
                [* ]Correspondence: srivastavag@ 123456brandonu.ca ; Tel.: +1-250-882-5516
                Author information
                https://orcid.org/0000-0001-8010-6275
                https://orcid.org/0000-0001-9851-4103
                https://orcid.org/0000-0003-2173-1999
                https://orcid.org/0000-0002-9997-5830
                Article
                sensors-19-00326
                10.3390/s19020326
                6359727
                30650612
                b11fa45b-0089-4169-95d7-b06ff9853cbe
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 December 2018
                : 10 January 2019
                Categories
                Article

                Biomedical engineering
                blockchain,medical big data,internet of things,smart contract,ethereum,data preservation,key management,authentication,ring signature,smart cities

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