#11540. A new secure arrangement for privacy-preserving data collection

July 2026publication date
Proposal available till 16-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Law;
Computer Science (all);
Computer Science Applications;
Software;
Hardware and Architecture;
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Abstract:
A big number of users’ healthy data are necessary for the Internet of Things (IoT) healthcare. Therefore, the institutions, which have access to more data can provide better medical services such as more accurate diagnosis. Users often refuse to provide their health data based on privacy considerations. To balance the requirement of data collection and personal privacy, a lot of privacy-preserving data collection schemes are provided. A very important work of these schemes is to produce a secret position for every user to store her/his data, which is named secure arrangement. A novel secure arrangement method is proposed in this paper, which is based on matrix eigenvalue calculation. Compared with the current secure arrangement methods, the proposed method is more robust and efficient, which drives the proposed scheme to be more suitable for repeated aggregation. We prove the proposed scheme is secure and efficient in security analysis and efficiency analysis.
Keywords:
Aggregation; Data collection; Privacy; Secure arrangement

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