Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
250-253

Heuristic privacy parameter setting strategy for differential privacy model

Ouyang Jia1
Xiao Zhenghong1
Liu Shaopeng1
Yin Jian2
Lin Piyuan3
1. College of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China
2. School of Data & Computer Science, Sun Yat-sen University, Guangzhou 510275, China
3. College of Mathematics & Informatics, South China Agricultural University, Guangzhou 510642, China
DOI: 10.19734/j.issn.1001-3695.2017.06.0649

Abstract

The privacy parameter ε can measure the degree of privacy protection and the amount of noise, however, the setting of the privacy parameter ε can only depend on the experience of the lab or the professional experience, limiting the adoption and popularize of the differential privacy model. Aiming at this problem, this paper proposed a kind of heuristic privacy parameter ε setting strategy(limit privacy breaches in differential privacy, LPBDP) based on the (ρ1, ρ2)-privacy model. It analyzed the intrinsic relationship between the privacy parameter ε and (ρ1, ρ2) , and determined the addition of the noise quantity by the parameters(ρ1, ρ2) . LPBDP set the privacy parameter ε by the following heuristic principle: if the attacker's prior probability of the target victim was less than the threshold ρ1, then, the attacker's posterior probability of the victim of the target must be less than threshold ρ2. Experiments show that LPBDP can more visually set the privacy parameter ε to meet the differential privacy constraints.

Foundation Support

国家自然科学基金资助项目(61702119)
广东省教育厅青年创新人才项目(自科)(2015KQNCX084)
广州市科技计划资助项目(201804010236,201607010152)
广东省省级科技计划资助项目(2016A010101029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.06.0649
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Information Security
Pages: 250-253
Serial Number: 1001-3695(2019)01-058-0250-04

Publish History

[2019-01-05] Printed Article

Cite This Article

欧阳佳, 肖政宏, 刘少鹏, 等. 差分隐私模型的启发式隐私参数设置策略 [J]. 计算机应用研究, 2019, 36 (1): 250-253. (Ouyang Jia, Xiao Zhenghong, Liu Shaopeng, et al. Heuristic privacy parameter setting strategy for differential privacy model [J]. Application Research of Computers, 2019, 36 (1): 250-253. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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