Literature DB >> 31995507

Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain.

Abbas Yazdinejad, Gautam Srivastava, Reza M Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo, Mohammed Aledhari.   

Abstract

In any interconnected healthcare system (e.g., those that are part of a smart city), interactions between patients, medical doctors, nurses and other healthcare practitioners need to be secure and efficient. For example, all members must be authenticated and securely interconnected to minimize security and privacy breaches from within a given network. However, introducing security and privacy-preserving solutions can also incur delays in processing and other related services, potentially threatening patients lives in critical situations. A considerable number of authentication and security systems presented in the literature are centralized, and frequently need to rely on some secure and trusted third-party entity to facilitate secure communications. This, in turn, increases the time required for authentication and decreases throughput due to known overhead, for patients and inter-hospital communications. In this paper, we propose a novel decentralized authentication of patients in a distributed hospital network, by leveraging blockchain. Our notion of a healthcare setting includes patients and allied health professionals (medical doctors, nurses, technicians, etc), and the health information of patients. Findings from our in-depth simulations demonstrate the potential utility of the proposed architecture. For example, it is shown that the proposed architecture's decentralized authentication among a distributed affiliated hospital network does not require re-authentication. This improvement will have a considerable impact on increasing throughput, reducing overhead, improving response time, and decreasing energy consumption in the network. We also provide a comparative analysis of our model in relation to a base model of the network without blockchain to show the overall effectiveness of our proposed solution.

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Year:  2020        PMID: 31995507     DOI: 10.1109/JBHI.2020.2969648

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  6 in total

1.  A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed.

Authors:  Nihar Ranjan Pradhan; Akhilendra Pratap Singh; Sahil Verma; Navneet Kaur; Diptendu Sinha Roy; Jana Shafi; Marcin Wozniak; Muhammad Fazal Ijaz
Journal:  Sensors (Basel)       Date:  2022-04-30       Impact factor: 3.847

2.  Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance.

Authors:  Osama Shahid; Mohammad Nasajpour; Seyedamin Pouriyeh; Reza M Parizi; Meng Han; Maria Valero; Fangyu Li; Mohammed Aledhari; Quan Z Sheng
Journal:  J Biomed Inform       Date:  2021-03-24       Impact factor: 8.000

3.  Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic?

Authors:  Xuran Li; Bishenghui Tao; Hong-Ning Dai; Muhammad Imran; Dehuan Wan; Dengwang Li
Journal:  Pervasive Mob Comput       Date:  2021-06-08       Impact factor: 3.453

4.  Distributed Authentication Model for Secure Network Connectivity in Network Separation Technology.

Authors:  Na-Eun Park; So-Hyun Park; Ye-Sol Oh; Jung-Hyun Moon; Il-Gu Lee
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

5.  An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network.

Authors:  Aitizaz Ali; Mohammed Amin Almaiah; Fahima Hajjej; Muhammad Fermi Pasha; Ong Huey Fang; Rahim Khan; Jason Teo; Muhammad Zakarya
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

6.  A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things.

Authors:  Mohammed Amin Almaiah; Aitizaz Ali; Fahima Hajjej; Muhammad Fermi Pasha; Manal Abdullah Alohali
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  6 in total

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