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    A large-scale concurrent data anonymous batch verification scheme for mobile healthcare crowd sensing

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    Name:
    1804.01822v1.pdf
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    Genre
    Pre-print
    Date
    2019-04-01
    Author
    Liu, J
    Cao, H
    Li, Q
    Cai, F
    Du, X
    Guizani, M
    Subject
    Aggregate signature (AS)
    batch verification
    mobile healthcare crowd sensing (MHCS)
    privacy preservation
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/4564
    
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    DOI
    10.1109/JIOT.2018.2828463
    Abstract
    © 2014 IEEE. Recently, with the rapid development of big data, Internet of Things (IoT) brings more and more intelligent and convenient services to people's daily lives. Mobile healthcare crowd sensing (MHCS), as a typical application of IoT, is becoming an effective approach to provide various medical and healthcare services to individual or organizations. However, MHCS still have to face to different security challenges in practice. For example, how to quickly and effectively authenticate masses of bio-information uploaded by IoT terminals without revealing the owners' sensitive information. Therefore, we propose a large-scale concurrent data anonymous batch verification scheme for MHCS based on an improved certificateless aggregate signature. The proposed scheme can authenticate all sensing bio-information at once in a privacy preserving way. The individual data generated by different users can be verified in batch, while the actual identity of participants is hidden. Moreover, assuming the intractability of computational Diffie-Hellman problem, our scheme is proved to be secure. Finally, the performance evaluation shows that the proposed scheme is suitable for MHCS, due to its high efficiency.
    Citation to related work
    Institute of Electrical and Electronics Engineers (IEEE)
    Has part
    IEEE Internet of Things Journal
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    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/4546
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