通信学报2024，Vol.45Issue(8)：1-19,19.DOI:10.11959/j.issn.1000-436x.2024122
基于模糊影响图的差分隐私算法保护效果评估方法
Assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram
摘要
Abstract
In response to the challenge of comprehensively assessing privacy-preserving algorithms,an assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram was proposed,achieving a multi-perspective assessment of differential privacy algorithms with a comprehensive score and level as as-sessment results.Starting from five aspects—algorithm security,feasibility,privacy bias,data utility,and user experi-ence,an indicator system was established.Fuzzy theory was employed to handle uncertainties,while the diagram was used to propagate interactions between factors.The assessment score and level were obtained by calculating the fuzzy in-fluence diagram,and then used as feedback for parameter adjustment to achieve iterative assessment.Formalization link was proposed to solve the problem of completely opposite algorithms with idential evaluation results.Comparative ex-periments on electricity-carbon analysis model demonstrate the proposed method can assess the protection effectiveness of differential privacy algorithms effectively.Ablation experiments further show that the formalization link plays a key role in the discrimination of the algorithm.关键词
隐私保护效果/综合评估/模糊影响图/差分隐私Key words
privacy protection effectiveness/comprehensive assessment/fuzzy influence diagram/differential privacy分类
电子信息工程引用本文复制引用
田月池,李凤华,周泽峻,孙哲,郭守坤,牛犇..基于模糊影响图的差分隐私算法保护效果评估方法[J].通信学报,2024,45(8):1-19,19.基金项目
国家重点研发计划基金资助项目(No.2021YFB3100300) （No.2021YFB3100300）
国家自然科学基金资助项目(No.62332018) （No.62332018）
国家社科基金重大项目(No.22&ZD147) The National Key Research and Development Program of China(No.2021YFB3100300),The National Natural Science Foundation of China(No.62332018),Major Programs of the National Social Science Foundation of China(No.22&ZD147) （No.22&ZD147）
