Efficient Q-Value Zero-Leakage Protection Scheme In SRS Regularly Publishing Private Data
Spontaneous Reporting System (SRS) has been widely established to collect adverse drug events.Thus, SRS promotes the detection and analysis of ADR (adverse drug reactions), such as the FDA Adverse Event Reporting System (FAERS).The SRS data needs to be provided to researchers.Meanwhile, the SRS data is publicly available to facilitate the study of ADR detection and analysis.In general, SRS data contains private information of some individual characteristics.Before the information is published, it is necessary to anonymize private information in the SRS data to prevent disclosure of individual privacy.There are many privacy protection methods.The most classic method for protecting SRS data is called as PPMS.However, in the real world,SRS data is growing dynamically and needs to be published regularly.In this case, PPMS method is not efficient enough.To enhance the efficiency, we propose an efficient q-value zero-leakage protection scheme in SRS regularly publishing private data, called PPAD.PPAD can deal with almost all of potential attacks.Meanwhile, PPAD removes the limitations of PPMS.The experimental results show that our scheme PPAD solves the problem of privacy leakage in SRS regularly publishing private data.Meanwhile, PPAD significantly outperforms PPMS on the efficiency of q-value zero-leakage protection.
adverse drug reaction anonymized data privacy protection regularly publishing private data spontaneous reporting system
Zongmin Cui Lungui Zhang Zhuolin Mei Bin Wu Guangyong Gao Zhiqiang Zhao
School of Information Science and Technology Jiujiang University,Jiujiang, Jiangxi, China
国际会议
郑州
英文
463-469
2018-09-21(万方平台首次上网日期,不代表论文的发表时间)