Cited by 216Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningCloud Data Security Solutions

A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform

Open access
Hussein, Ahmed F., ArunKumar, N., Ramirez-Gonzalez, Gustavo, Abdulhay, Enas, Tavares, João Manuel R.S., de Albuquerque, Victor Hugo C.·2018·Cognitive Systems Research

Integrity signals

Registry

Crossref · 10.1016/j.cogsys.2018.05.004

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Prior studies have promulgated the use of blockchain as a proficient method of managing medical data and electronic personal health information or records.

    “Prior studies have promulgated the use of blockchain as a proficient method of managing medical data (Quaini et al., 2018;Hussein et al., 2018;Silva et al., 2019;Shen et al., 2019;Tian et al., 2019) and electronic personal health information or records (PHRs) (Roehrs et al., 2017;Dagher et al., 2018;Hussein et al., 2018;Guo et al., 2018).”
  • Preserving the privacy of sensitive medical data through greater accountability, immutability, and access control is especially critical in healthcare.

    “This issue is especially critical in healthcare due to the need to preserve the privacy of sensitive medical data through greater accountability, immutability, and access control (Hussein et al., 2018).”
  • Prior studies suggested multiple means-efficient authentication, biometric authentication, user verification, and dual signatures-to achieve data protection.

    “Multiple means, such as efficient authentication (Nagasubramanian et al., 2018), biometric authentication (Dhagarra et al., 2019), user verification (Hussein et al., 2018), and the use of dual signatures (Li et al., 2019) have been suggested to achieve this objective.”

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Authors
Hussein, A. F., ArunKumar, N., Ramirez-Gonzalez, G., Abdulhay, E., Tavares, J. M. R. S., & de Albuquerque, V. H. C.
Affiliations
  • Nahrain University (IQ)
  • SASTRA University (IN)
  • Jordan University of Science and Technology (JO)
  • Universidade do Porto (PT)
Corresponding author
Hussein, Ahmed F.
Venue
Cognitive Systems Research
Publisher
Elsevier BV
Published
2018-12
Volume
52
Pages
1-11
ISSN
1389-0417 (ISSN-L)
OpenAlex
W2805677640
Cited by
212
References
28
Citations by year
2026: 2 · 2025: 9 · 2024: 10 · 2023: 31 · 2022: 39 · 2021: 38 · 2020: 31 · 2019: 29 · 2018: 23
FWCI
48.82
Type
journal article
Language
en
Open access
Locations
  • Cognitive Systems Research (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Funders
Conselho Nacional de Desenvolvimento Científico e Tecnológico (304315/2017-6)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
Keywords
medical records, blockchain, data security, patient privacy, access control, discrete wavelet transform, genetic algorithm, cryptographic key generation, data sharing, immutability

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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