Balancing Privacy-Utility of Differential Privacy Mechanism: A Collaborative Perspective
Author(s) -
Hai Liu,
Changgen Peng,
Youliang Tian,
Shigong Long,
Zhenqiang Wu
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/5592191
Subject(s) - differential privacy , computer science , mechanism (biology) , privacy software , privacy protection , information privacy , balance (ability) , privacy by design , computer security , data mining , medicine , philosophy , epistemology , physical medicine and rehabilitation
Differential privacy mechanism can maintain privacy-utility monotonicity. Thus, differential privacy mechanism does not obtain privacy-utility balance for numerical data. To this end, we provide privacy-utility balance of differential privacy mechanism with the collaborative perspective in this paper. First, we constructed the collaborative model achieving privacy-utility balance of differential privacy mechanism. Second, we presented the collaborative algorithm of differential privacy mechanism under our collaborative model. Third, our theoretical analysis showed that the collaborative algorithm of differential privacy mechanism could keep privacy-utility balance. Finally, our experimental results demonstrated that the collaborative differential privacy mechanism can maintain privacy-utility balance. Thus, we provide a new collaborative model to solve the privacy-utility balance problem of differential privacy mechanism. Our collaborative algorithm is easy to apply to query processing of numerical data.
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