差分隐私DNA模体识别安全共享平台的设计与实现

Design and Implementation of Differential Private DNA motif finding Secure Sharing Platform

摘要:

在数据共享平台进行DNA模体识别的过程中,如何防止个体信息泄露已成为该领域发展的研究热点。对此,设计并实现了基于差分隐私的DNA模体识别安全共享平台,内置多种满足差分隐私保护模型的DNA模体识别算法,实现数据源选择、算法选择、隐私预算设置、结果评估、图形化结果展示等功能。同时,除具备对内置DNA数据的模体识别外,还允许科研人员自主上传、共享DNA数据库,并对共享的DNA数据进行差分隐私模体识别,为科研工作人员提供安全可靠的基因序列分析研究平台和数据共享平台。通过平台测试证明,安全共享平台能够实现DNA数据的有效识别和安全共享,设计方案有效可行。

Abstract:

In the process of DNA motif finding in data sharing platform, preventing individual information leakage become a research focuses in this field. Aim at this problem, this paper designs and implements a differential privacy-based DNA motif finding security sharing platform, adopts sever DNA motif finding algorithms that satisfy the differential privacy protection model, and realizes data source selection, algorithm selection, privacy budget setting, result evaluation, graphical result display and etc. Moreover, in addition to finding motifs of the built-in DNA datasets, the platform also allows researchers to upload and share DNA datasets and find motifs of the sharing DNA datasets, providing a safe and reliable genetic sequence analysis research and data sharing platform for researchers. The tests prove that the secure sharing platform can effectively find motifs and safely share DNA data, and the design is feasible.