An architecture for data integrity in untrustworthy social networks

DA SILVA, Carlos and YOUNG, Angus (2022). An architecture for data integrity in untrustworthy social networks. In: SAC'22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. New York, ACM, 1732-1739.

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Official URL: https://dl.acm.org/doi/10.1145/3477314.3507001
Link to published version:: https://doi.org/10.1145/3477314.3507001
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    Abstract

    Social media platforms have the power to massively influence public opinion, and as such, are under increased pressure to submit to state regulation. They operate under a centralised model, in which users should trust the service provider that the information being presented has not been altered. This paper presents an architecture for enabling independent verification of content integrity in social networks. Our solution assumes a scenario of an untrustworthy social network provider, utilising public key cryptography for signing user content, and distributed hash tables for storing detached signatures. We have developed a proof of concept system that has been used to demonstrate the feasibility of the proposed solution.

    Item Type: Book Section
    Additional Information: SAC 22: The 37th ACM/SIGAPP Symposium On Applied Computing, Virtual Conference, April 25 2022- April 29 2022.
    Identification Number: https://doi.org/10.1145/3477314.3507001
    Page Range: 1732-1739
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 01 Mar 2022 12:35
    Last Modified: 10 May 2022 11:29
    URI: http://shura.shu.ac.uk/id/eprint/29815

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