Articles producció científica> Enginyeria Informàtica i Matemàtiques

FRR: Fair remote retrieval of outsourced private medical records in electronic health networks

  • Identification data

    Identifier: imarina:9297637
    Authors:
    Wang, HuaqunWu, QianhongQin, BoDomingo-Ferrer, Josep
    Abstract:
    Cloud computing is emerging as the next-generation IT architecture. However, cloud computing also raises security and privacy concerns since the users have no physical control over the outsourced data. This paper focuses on fairly retrieving encrypted private medical records outsourced to remote untrusted cloud servers in the case of medical accidents and disputes. Our goal is to enable an independent committee to fairly recover the original private medical records so that medical investigation can be carried out in a convincing way. We achieve this goal with a fair remote retrieval (FRR) model in which either t investigation committee members cooperatively retrieve the original medical data or none of them can get any information on the medical records. We realize the first FRR scheme by exploiting fair multimember key exchange and homomorphic privately verifiable tags. Based on the standard computational Diffie-Hellman (CDH) assumption, our scheme is provably secure in the random oracle model (ROM). A detailed performance analysis and experimental results show that our scheme is efficient in terms of communication and computation. (C) 2014 Elsevier Inc. All rights reserved.
  • Others:

    Author, as appears in the article.: Wang, Huaqun; Wu, Qianhong; Qin, Bo; Domingo-Ferrer, Josep
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Domingo Ferrer, Josep
    Keywords: Provable data possession Proofs Privacy Medical records Fair remote data retrieval Electronic health records Contract services Computer simulation Cloud computing fair remote data retrieval cloud computing
    Abstract: Cloud computing is emerging as the next-generation IT architecture. However, cloud computing also raises security and privacy concerns since the users have no physical control over the outsourced data. This paper focuses on fairly retrieving encrypted private medical records outsourced to remote untrusted cloud servers in the case of medical accidents and disputes. Our goal is to enable an independent committee to fairly recover the original private medical records so that medical investigation can be carried out in a convincing way. We achieve this goal with a fair remote retrieval (FRR) model in which either t investigation committee members cooperatively retrieve the original medical data or none of them can get any information on the medical records. We realize the first FRR scheme by exploiting fair multimember key exchange and homomorphic privately verifiable tags. Based on the standard computational Diffie-Hellman (CDH) assumption, our scheme is provably secure in the random oracle model (ROM). A detailed performance analysis and experimental results show that our scheme is efficient in terms of communication and computation. (C) 2014 Elsevier Inc. All rights reserved.
    Thematic Areas: Saúde coletiva Medical informatics Mathematical & computational biology Interdisciplinar Health informatics Ensino Engenharias iv Computer science, interdisciplinary applications Computer science applications Ciências biológicas i Ciência da computação
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: josep.domingo@urv.cat
    Author identifier: 0000-0001-7213-4962
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S1532046414000458
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Biomedical Informatics. 50 226-233
    APA: Wang, Huaqun; Wu, Qianhong; Qin, Bo; Domingo-Ferrer, Josep (2014). FRR: Fair remote retrieval of outsourced private medical records in electronic health networks. Journal Of Biomedical Informatics, 50(), 226-233. DOI: 10.1016/j.jbi.2014.02.008
    Article's DOI: 10.1016/j.jbi.2014.02.008
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2014
    Publication Type: Journal Publications
  • Keywords:

    Computer Science Applications,Computer Science, Interdisciplinary Applications,Health Informatics,Mathematical & Computational Biology,Medical Informatics
    Provable data possession
    Proofs
    Privacy
    Medical records
    Fair remote data retrieval
    Electronic health records
    Contract services
    Computer simulation
    Cloud computing
    fair remote data retrieval
    cloud computing
    Saúde coletiva
    Medical informatics
    Mathematical & computational biology
    Interdisciplinar
    Health informatics
    Ensino
    Engenharias iv
    Computer science, interdisciplinary applications
    Computer science applications
    Ciências biológicas i
    Ciência da computação
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