Privacy-Preserving Mechanism for Data Analytics
This paper proposed a mechanism to maintain the data subject�s privacy while performing analytics on electricity billing data. First, this paper implemented privacy-preserving mechanisms such as generalisation, group shuffling, suppression and full masking in a mocked electricity billing dataset. Th...
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フォーマット: | Conference Paper |
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Springer Science and Business Media Deutschland GmbH
2024
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